Pandas Profiling Report

Dataset statistics

Number of variables	67
Number of observations	78
Missing cells	839
Missing cells (%)	16.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	41.0 KiB
Average record size in memory	537.6 B

Variable types

Categorical	67

Alerts

`Time` has a high cardinality: 75 distinct values	High cardinality
`Decimal` has a high cardinality: 72 distinct values	High cardinality
`Illumination level (Lux)` has a high cardinality: 75 distinct values	High cardinality
`Color Tempreture` has a high cardinality: 74 distinct values	High cardinality
`Average Noise level` has a high cardinality: 74 distinct values	High cardinality
`O2 Concentration (%Vol)` has a high cardinality: 66 distinct values	High cardinality
`CO2 at any moment (PPM)` has a high cardinality: 75 distinct values	High cardinality
`LPG concen (ppm)` has a high cardinality: 73 distinct values	High cardinality
`Methan Concen (ppm)` has a high cardinality: 70 distinct values	High cardinality
`CO concen (ppm)` has a high cardinality: 71 distinct values	High cardinality
`Hydrogyn Concen (ppm)` has a high cardinality: 72 distinct values	High cardinality
`Netric tVOC level (ppm)` has a high cardinality: 69 distinct values	High cardinality
`VOC Formerdahied Level (ppm)` has a high cardinality: 69 distinct values	High cardinality
`Different VOC (CO) Level (ppm)` has a high cardinality: 63 distinct values	High cardinality
`Room Temp ( C )` has a high cardinality: 73 distinct values	High cardinality
`Room reative humadity %` has a high cardinality: 72 distinct values	High cardinality
`Radiant Temp 1 (C).1` has a high cardinality: 63 distinct values	High cardinality
`Wind Speed (mm/s)` has a high cardinality: 53 distinct values	High cardinality
`Timestamp` has a high cardinality: 72 distinct values	High cardinality
`In average day how much time do you spend in the [Office ]` is highly correlated with `In average day how much time do you spend in the [laboratory ]` and 26 other fields	High correlation
`Hydrogyn Concen (ppm)` is highly correlated with `CO2 at any moment (PPM)` and 18 other fields	High correlation
`In average day how much time do you spend in the [laboratory ]` is highly correlated with `In average day how much time do you spend in the [Office ]` and 30 other fields	High correlation
`Occupation` is highly correlated with `In average day how much time do you spend in the [Office ]` and 41 other fields	High correlation
`Does the quality of air in this part of building have a negative effect on your work performance "most time feeling"?` is highly correlated with `Occupation` and 27 other fields	High correlation
`CO2 at any moment (PPM)` is highly correlated with `Hydrogyn Concen (ppm)` and 38 other fields	High correlation
`CO concen (ppm)` is highly correlated with `Hydrogyn Concen (ppm)` and 17 other fields	High correlation
`Different VOC (CO) Level (ppm)` is highly correlated with `Hydrogyn Concen (ppm)` and 17 other fields	High correlation
`Room Temp ( C )` is highly correlated with `Hydrogyn Concen (ppm)` and 27 other fields	High correlation
`How would you describe the summer indoor air temperature "most time feeling"?` is highly correlated with `In average day how much time do you spend in the [Office ]` and 31 other fields	High correlation
`Do you have control over artificial lightning ?` is highly correlated with `In average day how much time do you spend in the [Office ]` and 44 other fields	High correlation
`Unnamed: 61` is highly correlated with `In average day how much time do you spend in the [laboratory ]` and 41 other fields	High correlation
`How long have you (worked-studied) in this building` is highly correlated with `In average day how much time do you spend in the [Office ]` and 24 other fields	High correlation
`How would you describe the noise in building generally "most time feeling"?` is highly correlated with `In average day how much time do you spend in the [Office ]` and 33 other fields	High correlation
`Decimal` is highly correlated with `Hydrogyn Concen (ppm)` and 38 other fields	High correlation
`Height` is highly correlated with `Occupation` and 18 other fields	High correlation
`Radiant Temp 2 (C)` is highly correlated with `CO2 at any moment (PPM)` and 13 other fields	High correlation
`Do you smell odor or unusual smell in your work-space "most time feeling"?` is highly correlated with `In average day how much time do you spend in the [Office ]` and 41 other fields	High correlation
`Color Tempreture` is highly correlated with `Hydrogyn Concen (ppm)` and 26 other fields	High correlation
`LPG concen (ppm)` is highly correlated with `Hydrogyn Concen (ppm)` and 18 other fields	High correlation
`Unnamed: 64` is highly correlated with `Occupation` and 31 other fields	High correlation
`Room name and code` is highly correlated with `In average day how much time do you spend in the [Office ]` and 20 other fields	High correlation
`Does the temperature in this part of the building have a negative effect on your work performance?` is highly correlated with `In average day how much time do you spend in the [Office ]` and 38 other fields	High correlation
`Do you feel comfortable under the current temperature ?` is highly correlated with `In average day how much time do you spend in the [laboratory ]` and 22 other fields	High correlation
`Is there significant distraction from noise outside (in this moment) ?` is highly correlated with `In average day how much time do you spend in the [Office ]` and 37 other fields	High correlation
`Illumination level (Lux)` is highly correlated with `Hydrogyn Concen (ppm)` and 38 other fields	High correlation
`Does the quality of light (color and light level) in this part of building have a negative effect on your work performance ?` is highly correlated with `In average day how much time do you spend in the [laboratory ]` and 26 other fields	High correlation
`Alcohole Concen (ppm)` is highly correlated with `Hydrogyn Concen (ppm)` and 12 other fields	High correlation
`Age` is highly correlated with `In average day how much time do you spend in the [Office ]` and 43 other fields	High correlation
`Unnamed: 63` is highly correlated with `In average day how much time do you spend in the [Office ]` and 38 other fields	High correlation
`Room reative humadity %` is highly correlated with `CO2 at any moment (PPM)` and 14 other fields	High correlation
`How would describe noise at this moment?` is highly correlated with `Does the quality of air in this part of building have a negative effect on your work performance "most time feeling"?` and 28 other fields	High correlation
`How would you describe the ventilation and air quality of building "most time feeling"?` is highly correlated with `Occupation` and 23 other fields	High correlation
`In average day how much time do you spend working at computer "average hours per day"` is highly correlated with `In average day how much time do you spend in the [Office ]` and 18 other fields	High correlation
`Time` is highly correlated with `Hydrogyn Concen (ppm)` and 38 other fields	High correlation
`How you describe the current temperature in this room?` is highly correlated with `In average day how much time do you spend in the [Office ]` and 30 other fields	High correlation
`Unnamed: 65` is highly correlated with `In average day how much time do you spend in the [Office ]` and 41 other fields	High correlation
`Is there availability of natural light?` is highly correlated with `In average day how much time do you spend in the [laboratory ]` and 23 other fields	High correlation
`Netric tVOC level (ppm)` is highly correlated with `Hydrogyn Concen (ppm)` and 18 other fields	High correlation
`Radiant Temp 3 (C)` is highly correlated with `Hydrogyn Concen (ppm)` and 15 other fields	High correlation
`Clothing` is highly correlated with `In average day how much time do you spend in the [Office ]` and 13 other fields	High correlation
`Unnamed: 62` is highly correlated with `Occupation` and 38 other fields	High correlation
`Do you have control over air condition system ?` is highly correlated with `In average day how much time do you spend in the [Office ]` and 44 other fields	High correlation
`Radiant Temp 1 (C)` is highly correlated with `Hydrogyn Concen (ppm)` and 13 other fields	High correlation
`In average day how much time do you spend in the [Studio Design]` is highly correlated with `In average day how much time do you spend in the [Office ]` and 25 other fields	High correlation
`Does the distraction from noise in this part of building have a negative effect on your work performance "most time feeling"?` is highly correlated with `In average day how much time do you spend in the [Office ]` and 35 other fields	High correlation
`In average day how much time do you spend in the [Cafeteria ]` is highly correlated with `In average day how much time do you spend in the [Office ]` and 35 other fields	High correlation
`Location` is highly correlated with `Occupation` and 11 other fields	High correlation
`In average day how much time do you spend in the [Lecture room ]` is highly correlated with `In average day how much time do you spend in the [Office ]` and 30 other fields	High correlation
`Are there blinds or shutters blocking the natural light ?` is highly correlated with `In average day how much time do you spend in the [Office ]` and 46 other fields	High correlation
`Unnamed: 66` is highly correlated with `In average day how much time do you spend in the [laboratory ]` and 40 other fields	High correlation
`Is there any luminare is OFF at this moment?` is highly correlated with `Occupation` and 28 other fields	High correlation
`How long do you spend in the building during the day` is highly correlated with `In average day how much time do you spend in the [Office ]` and 27 other fields	High correlation
`Gender` is highly correlated with `In average day how much time do you spend in the [Office ]` and 47 other fields	High correlation
`Average Noise level` is highly correlated with `Hydrogyn Concen (ppm)` and 25 other fields	High correlation
`How would you describe the winter indoor air temperature "most time feeling"` is highly correlated with `In average day how much time do you spend in the [Office ]` and 31 other fields	High correlation
`Your Activity` is highly correlated with `In average day how much time do you spend in the [laboratory ]` and 23 other fields	High correlation
`Do you feel sleepy or headache when you get to your work-space "most time feeling"?` is highly correlated with `Occupation` and 27 other fields	High correlation
`Wind Speed (mm/s)` is highly correlated with `Hydrogyn Concen (ppm)` and 16 other fields	High correlation
`Weight` is highly correlated with `In average day how much time do you spend in the [Office ]` and 25 other fields	High correlation
`Right now, do you smell unusual smell?` is highly correlated with `Does the quality of air in this part of building have a negative effect on your work performance "most time feeling"?` and 22 other fields	High correlation
`Methan Concen (ppm)` is highly correlated with `Hydrogyn Concen (ppm)` and 16 other fields	High correlation
`O2 Concentration (%Vol)` is highly correlated with `Hydrogyn Concen (ppm)` and 9 other fields	High correlation
`Radiant Temp 1 (C).1` is highly correlated with `Hydrogyn Concen (ppm)` and 15 other fields	High correlation
`VOC Formerdahied Level (ppm)` is highly correlated with `Hydrogyn Concen (ppm)` and 16 other fields	High correlation
`Is there significant distraction from background noise (machine and undefined noise sources)?` is highly correlated with `In average day how much time do you spend in the [Office ]` and 28 other fields	High correlation
`Location` is highly correlated with `Time` and 61 other fields	High correlation
`Time` is highly correlated with `Location` and 44 other fields	High correlation
`Decimal` is highly correlated with `Location` and 44 other fields	High correlation
`Illumination level (Lux)` is highly correlated with `Location` and 44 other fields	High correlation
`Color Tempreture` is highly correlated with `Location` and 44 other fields	High correlation
`Average Noise level` is highly correlated with `Location` and 42 other fields	High correlation
`O2 Concentration (%Vol)` is highly correlated with `Location` and 42 other fields	High correlation
`CO2 at any moment (PPM)` is highly correlated with `Location` and 44 other fields	High correlation
`LPG concen (ppm)` is highly correlated with `Location` and 43 other fields	High correlation
`Alcohole Concen (ppm)` is highly correlated with `Location` and 62 other fields	High correlation
`Methan Concen (ppm)` is highly correlated with `Location` and 40 other fields	High correlation
`CO concen (ppm)` is highly correlated with `Location` and 41 other fields	High correlation
`Hydrogyn Concen (ppm)` is highly correlated with `Location` and 44 other fields	High correlation
`Netric tVOC level (ppm)` is highly correlated with `Location` and 40 other fields	High correlation
`VOC Formerdahied Level (ppm)` is highly correlated with `Location` and 41 other fields	High correlation
`Different VOC (CO) Level (ppm)` is highly correlated with `Location` and 42 other fields	High correlation
`Room Temp ( C )` is highly correlated with `Location` and 44 other fields	High correlation
`Room reative humadity %` is highly correlated with `Location` and 44 other fields	High correlation
`Radiant Temp 1 (C)` is highly correlated with `Time` and 51 other fields	High correlation
`Radiant Temp 2 (C)` is highly correlated with `Location` and 49 other fields	High correlation
`Radiant Temp 3 (C)` is highly correlated with `Time` and 46 other fields	High correlation
`Radiant Temp 1 (C).1` is highly correlated with `Location` and 43 other fields	High correlation
`Wind Speed (mm/s)` is highly correlated with `Location` and 47 other fields	High correlation
`Timestamp` is highly correlated with `Location` and 59 other fields	High correlation
`Room name and code` is highly correlated with `Location` and 47 other fields	High correlation
`Gender` is highly correlated with `Location` and 65 other fields	High correlation
`Occupation` is highly correlated with `Location` and 63 other fields	High correlation
`Age` is highly correlated with `Location` and 62 other fields	High correlation
`Height` is highly correlated with `Time` and 60 other fields	High correlation
`Weight` is highly correlated with `Location` and 45 other fields	High correlation
`Your Activity` is highly correlated with `Location` and 46 other fields	High correlation
`Clothing` is highly correlated with `Alcohole Concen (ppm)` and 45 other fields	High correlation
`How long do you spend in the building during the day` is highly correlated with `Location` and 45 other fields	High correlation
`How long have you (worked-studied) in this building` is highly correlated with `Location` and 44 other fields	High correlation
`In average day how much time do you spend in the [Office ]` is highly correlated with `Location` and 45 other fields	High correlation
`In average day how much time do you spend in the [Lecture room ]` is highly correlated with `Location` and 46 other fields	High correlation
`In average day how much time do you spend in the [laboratory ]` is highly correlated with `Location` and 47 other fields	High correlation
`In average day how much time do you spend in the [Studio Design]` is highly correlated with `Location` and 44 other fields	High correlation
`In average day how much time do you spend in the [Cafeteria ]` is highly correlated with `Location` and 46 other fields	High correlation
`In average day how much time do you spend working at computer "average hours per day"` is highly correlated with `Location` and 46 other fields	High correlation
`Does the temperature in this part of the building have a negative effect on your work performance?` is highly correlated with `Location` and 44 other fields	High correlation
`How would you describe the summer indoor air temperature "most time feeling"?` is highly correlated with `Location` and 44 other fields	High correlation
`How would you describe the winter indoor air temperature "most time feeling"` is highly correlated with `Location` and 45 other fields	High correlation
`Do you feel comfortable under the current temperature ?` is highly correlated with `Location` and 44 other fields	High correlation
`How you describe the current temperature in this room?` is highly correlated with `Location` and 44 other fields	High correlation
`Does the distraction from noise in this part of building have a negative effect on your work performance "most time feeling"?` is highly correlated with `Location` and 48 other fields	High correlation
`Is there significant distraction from noise outside (in this moment) ?` is highly correlated with `Location` and 48 other fields	High correlation
`Is there significant distraction from background noise (machine and undefined noise sources)?` is highly correlated with `Location` and 43 other fields	High correlation
`How would you describe the noise in building generally "most time feeling"?` is highly correlated with `Location` and 44 other fields	High correlation
`How would describe noise at this moment?` is highly correlated with `Location` and 64 other fields	High correlation
`Does the quality of air in this part of building have a negative effect on your work performance "most time feeling"?` is highly correlated with `Location` and 60 other fields	High correlation
`Do you have control over air condition system ?` is highly correlated with `Location` and 63 other fields	High correlation
`How would you describe the ventilation and air quality of building "most time feeling"?` is highly correlated with `Location` and 64 other fields	High correlation
`Do you smell odor or unusual smell in your work-space "most time feeling"?` is highly correlated with `Location` and 64 other fields	High correlation
`Do you feel sleepy or headache when you get to your work-space "most time feeling"?` is highly correlated with `Location` and 65 other fields	High correlation
`Right now, do you smell unusual smell?` is highly correlated with `Location` and 59 other fields	High correlation
`Does the quality of light (color and light level) in this part of building have a negative effect on your work performance ?` is highly correlated with `Location` and 64 other fields	High correlation
`Is there availability of natural light?` is highly correlated with `Location` and 65 other fields	High correlation
`Are there blinds or shutters blocking the natural light ?` is highly correlated with `Location` and 65 other fields	High correlation
`Do you have control over artificial lightning ?` is highly correlated with `Location` and 62 other fields	High correlation
`Is there any luminare is OFF at this moment?` is highly correlated with `Location` and 57 other fields	High correlation
`Unnamed: 61` is highly correlated with `Location` and 62 other fields	High correlation
`Unnamed: 62` is highly correlated with `Location` and 65 other fields	High correlation
`Unnamed: 63` is highly correlated with `Location` and 65 other fields	High correlation
`Unnamed: 64` is highly correlated with `Location` and 62 other fields	High correlation
`Unnamed: 65` is highly correlated with `Location` and 65 other fields	High correlation
`Unnamed: 66` is highly correlated with `Location` and 65 other fields	High correlation
`Location` has 2 (2.6%) missing values	Missing
`Time` has 2 (2.6%) missing values	Missing
`Decimal` has 5 (6.4%) missing values	Missing
`Illumination level (Lux)` has 2 (2.6%) missing values	Missing
`Color Tempreture` has 2 (2.6%) missing values	Missing
`Average Noise level` has 2 (2.6%) missing values	Missing
`O2 Concentration (%Vol)` has 2 (2.6%) missing values	Missing
`CO2 at any moment (PPM)` has 2 (2.6%) missing values	Missing
`LPG concen (ppm)` has 2 (2.6%) missing values	Missing
`Alcohole Concen (ppm)` has 2 (2.6%) missing values	Missing
`Methan Concen (ppm)` has 2 (2.6%) missing values	Missing
`CO concen (ppm)` has 2 (2.6%) missing values	Missing
`Hydrogyn Concen (ppm)` has 2 (2.6%) missing values	Missing
`Netric tVOC level (ppm)` has 2 (2.6%) missing values	Missing
`VOC Formerdahied Level (ppm)` has 2 (2.6%) missing values	Missing
`Different VOC (CO) Level (ppm)` has 2 (2.6%) missing values	Missing
`Room Temp ( C )` has 2 (2.6%) missing values	Missing
`Room reative humadity %` has 2 (2.6%) missing values	Missing
`Radiant Temp 1 (C)` has 2 (2.6%) missing values	Missing
`Radiant Temp 2 (C)` has 2 (2.6%) missing values	Missing
`Radiant Temp 3 (C)` has 2 (2.6%) missing values	Missing
`Radiant Temp 1 (C).1` has 2 (2.6%) missing values	Missing
`Wind Speed (mm/s)` has 2 (2.6%) missing values	Missing
`Timestamp` has 2 (2.6%) missing values	Missing
`Room name and code` has 2 (2.6%) missing values	Missing
`Gender` has 2 (2.6%) missing values	Missing
`Occupation` has 2 (2.6%) missing values	Missing
`Age` has 2 (2.6%) missing values	Missing
`Height` has 2 (2.6%) missing values	Missing
`Weight` has 2 (2.6%) missing values	Missing
`Your Activity` has 2 (2.6%) missing values	Missing
`Clothing` has 2 (2.6%) missing values	Missing
`How long do you spend in the building during the day` has 2 (2.6%) missing values	Missing
`How long have you (worked-studied) in this building` has 2 (2.6%) missing values	Missing
`In average day how much time do you spend in the [Office ]` has 2 (2.6%) missing values	Missing
`In average day how much time do you spend in the [Lecture room ]` has 2 (2.6%) missing values	Missing
`In average day how much time do you spend in the [laboratory ]` has 2 (2.6%) missing values	Missing
`In average day how much time do you spend in the [Studio Design]` has 2 (2.6%) missing values	Missing
`In average day how much time do you spend in the [Cafeteria ]` has 2 (2.6%) missing values	Missing
`In average day how much time do you spend working at computer "average hours per day"` has 2 (2.6%) missing values	Missing
`Does the temperature in this part of the building have a negative effect on your work performance?` has 2 (2.6%) missing values	Missing
`How would you describe the summer indoor air temperature "most time feeling"?` has 2 (2.6%) missing values	Missing
`How would you describe the winter indoor air temperature "most time feeling"` has 2 (2.6%) missing values	Missing
`Do you feel comfortable under the current temperature ?` has 2 (2.6%) missing values	Missing
`How you describe the current temperature in this room?` has 2 (2.6%) missing values	Missing
`Does the distraction from noise in this part of building have a negative effect on your work performance "most time feeling"?` has 2 (2.6%) missing values	Missing
`Is there significant distraction from noise outside (in this moment) ?` has 2 (2.6%) missing values	Missing
`Is there significant distraction from background noise (machine and undefined noise sources)?` has 2 (2.6%) missing values	Missing
`How would you describe the noise in building generally "most time feeling"?` has 2 (2.6%) missing values	Missing
`How would describe noise at this moment?` has 34 (43.6%) missing values	Missing
`Does the quality of air in this part of building have a negative effect on your work performance "most time feeling"?` has 34 (43.6%) missing values	Missing
`Do you have control over air condition system ?` has 34 (43.6%) missing values	Missing
`How would you describe the ventilation and air quality of building "most time feeling"?` has 34 (43.6%) missing values	Missing
`Do you smell odor or unusual smell in your work-space "most time feeling"?` has 34 (43.6%) missing values	Missing
`Do you feel sleepy or headache when you get to your work-space "most time feeling"?` has 34 (43.6%) missing values	Missing
`Right now, do you smell unusual smell?` has 34 (43.6%) missing values	Missing
`Does the quality of light (color and light level) in this part of building have a negative effect on your work performance ?` has 34 (43.6%) missing values	Missing
`Is there availability of natural light?` has 34 (43.6%) missing values	Missing
`Are there blinds or shutters blocking the natural light ?` has 34 (43.6%) missing values	Missing
`Do you have control over artificial lightning ?` has 34 (43.6%) missing values	Missing
`Is there any luminare is OFF at this moment?` has 34 (43.6%) missing values	Missing
`Unnamed: 61` has 55 (70.5%) missing values	Missing
`Unnamed: 62` has 55 (70.5%) missing values	Missing
`Unnamed: 63` has 55 (70.5%) missing values	Missing
`Unnamed: 64` has 55 (70.5%) missing values	Missing
`Unnamed: 65` has 55 (70.5%) missing values	Missing
`Unnamed: 66` has 55 (70.5%) missing values	Missing
`Time` is uniformly distributed	Uniform
`Decimal` is uniformly distributed	Uniform
`Illumination level (Lux)` is uniformly distributed	Uniform
`Color Tempreture` is uniformly distributed	Uniform
`Average Noise level` is uniformly distributed	Uniform
`O2 Concentration (%Vol)` is uniformly distributed	Uniform
`CO2 at any moment (PPM)` is uniformly distributed	Uniform
`LPG concen (ppm)` is uniformly distributed	Uniform
`Methan Concen (ppm)` is uniformly distributed	Uniform
`CO concen (ppm)` is uniformly distributed	Uniform
`Hydrogyn Concen (ppm)` is uniformly distributed	Uniform
`Netric tVOC level (ppm)` is uniformly distributed	Uniform
`VOC Formerdahied Level (ppm)` is uniformly distributed	Uniform
`Room Temp ( C )` is uniformly distributed	Uniform
`Room reative humadity %` is uniformly distributed	Uniform
`Radiant Temp 1 (C).1` is uniformly distributed	Uniform
`Timestamp` is uniformly distributed	Uniform

Reproduction

Analysis started	2022-08-24 12:05:53.594972
Analysis finished	2022-08-24 12:06:51.651565
Duration	58.06 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

Location
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	19
Distinct (%)	25.0%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

STU211	31
STU203	6
Corridor	5
STU301	5
STU202	4
Other values (14)	25

Length

Max length	9
Median length	6
Mean length	6.276315789
Min length	5

Characters and Unicode

Total characters	477
Distinct characters	28
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	7.9%

Sample

1st row	STU302
2nd row	STU302
3rd row	STU 302
4th row	STU207
5th row	STU207

Common Values

Value	Count	Frequency (%)
STU211	31	39.7%
STU203	6	7.7%
Corridor	5	6.4%
STU301	5	6.4%
STU202	4	5.1%
Lobby	3	3.8%
STU304	3	3.8%
CL302	3	3.8%
Location	2	2.6%
STU302	2	2.6%
Other values (9)	12	15.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
stu211	31	40.3%
stu203	6	7.8%
corridor	5	6.5%
stu301	5	6.5%
stu202	4	5.2%
lobby	3	3.9%
stu304	3	3.9%
cl302	3	3.9%
ad316	2	2.6%
stu207	2	2.6%
Other values (10)	13	16.9%

Most occurring characters

Value	Count	Frequency (%)
1	73	15.3%
2	56	11.7%
S	55	11.5%
U	55	11.5%
T	55	11.5%
0	31	6.5%
3	27	5.7%
	19	4.0%
o	17	3.6%
r	15	3.1%
Other values (18)	74	15.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	201	42.1%
Decimal Number	196	41.1%
Lowercase Letter	61	12.8%
Space Separator	19	4.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	55	27.4%
U	55	27.4%
T	55	27.4%
L	14	7.0%
C	11	5.5%
A	4	2.0%
B	2	1.0%
D	2	1.0%
E	2	1.0%
V	1	0.5%

Lowercase Letter

Value	Count	Frequency (%)
o	17	27.9%
r	15	24.6%
i	7	11.5%
b	6	9.8%
d	5	8.2%
y	3	4.9%
c	2	3.3%
a	2	3.3%
t	2	3.3%
n	2	3.3%

Decimal Number

Value	Count	Frequency (%)
1	73	37.2%
2	56	28.6%
0	31	15.8%
3	27	13.8%
4	4	2.0%
6	3	1.5%
7	2	1.0%

Space Separator

Value	Count	Frequency (%)
	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	262	54.9%
Common	215	45.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	55	21.0%
U	55	21.0%
T	55	21.0%
o	17	6.5%
r	15	5.7%
L	14	5.3%
C	11	4.2%
i	7	2.7%
b	6	2.3%
d	5	1.9%
Other values (10)	22	8.4%

Common

Value	Count	Frequency (%)
1	73	34.0%
2	56	26.0%
0	31	14.4%
3	27	12.6%
	19	8.8%
4	4	1.9%
6	3	1.4%
7	2	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	477	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	73	15.3%
2	56	11.7%
S	55	11.5%
U	55	11.5%
T	55	11.5%
0	31	6.5%
3	27	5.7%
	19	4.0%
o	17	3.6%
r	15	3.1%
Other values (18)	74	15.5%

Time
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	75
Distinct (%)	98.7%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Time	2
9:34:10 AM	1
10:00:07 AM	1
9:54:45 AM	1
9:51:10 AM	1
Other values (70)	70

Length

Max length	11
Median length	10
Mean length	10.27631579
Min length	4

Characters and Unicode

Total characters	781
Distinct characters	20
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	74 ?
Unique (%)	97.4%

Sample

1st row	2:26:26 PM
2nd row	2:29:07 PM
3rd row	2:31:48 PM
4th row	2:46:07 PM
5th row	2:53:17 PM

Common Values

Value	Count	Frequency (%)
Time	2	2.6%
9:34:10 AM	1	1.3%
10:00:07 AM	1	1.3%
9:54:45 AM	1	1.3%
9:51:10 AM	1	1.3%
9:46:42 AM	1	1.3%
9:43:07 AM	1	1.3%
9:38:39 AM	1	1.3%
2:26:26 PM	1	1.3%
10:12:39 AM	1	1.3%
Other values (65)	65	83.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
am	37	25.0%
pm	35	23.6%
time	2	1.4%
2:37:10	1	0.7%
3:13:52	1	0.7%
2:46:07	1	0.7%
2:53:17	1	0.7%
3:06:43	1	0.7%
0.631527778	1	0.7%
3:10:17	1	0.7%
Other values (67)	67	45.3%

Most occurring characters

Value	Count	Frequency (%)
:	144	18.4%
1	100	12.8%
	72	9.2%
M	72	9.2%
2	58	7.4%
0	48	6.1%
4	47	6.0%
3	45	5.8%
A	37	4.7%
P	35	4.5%
Other values (10)	123	15.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	411	52.6%
Other Punctuation	146	18.7%
Uppercase Letter	146	18.7%
Space Separator	72	9.2%
Lowercase Letter	6	0.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	100	24.3%
2	58	14.1%
0	48	11.7%
4	47	11.4%
3	45	10.9%
5	32	7.8%
7	27	6.6%
9	23	5.6%
6	18	4.4%
8	13	3.2%

Uppercase Letter

Value	Count	Frequency (%)
M	72	49.3%
A	37	25.3%
P	35	24.0%
T	2	1.4%

Lowercase Letter

Value	Count	Frequency (%)
i	2	33.3%
e	2	33.3%
m	2	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	144	98.6%
.	2	1.4%

Space Separator

Value	Count	Frequency (%)
	72	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	629	80.5%
Latin	152	19.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
:	144	22.9%
1	100	15.9%
	72	11.4%
2	58	9.2%
0	48	7.6%
4	47	7.5%
3	45	7.2%
5	32	5.1%
7	27	4.3%
9	23	3.7%
Other values (3)	33	5.2%

Latin

Value	Count	Frequency (%)
M	72	47.4%
A	37	24.3%
P	35	23.0%
T	2	1.3%
i	2	1.3%
e	2	1.3%
m	2	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	781	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
:	144	18.4%
1	100	12.8%
	72	9.2%
M	72	9.2%
2	58	7.4%
0	48	6.1%
4	47	6.0%
3	45	5.8%
A	37	4.7%
P	35	4.5%
Other values (10)	123	15.7%

Decimal
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	72
Distinct (%)	98.6%
Missing	5
Missing (%)	6.4%
Memory size	752.0 B

Decimal	2
10.2108	1
10.0019	1
9.9125	1
9.8528	1
Other values (67)	67

Length

Max length	7
Median length	7
Mean length	6.767123288
Min length	4

Characters and Unicode

Total characters	494
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	71 ?
Unique (%)	97.3%

Sample

1st row	14.7686
2nd row	14.8881
3rd row	15.1119
4th row	15.1567
5th row	15.1714

Common Values

Value	Count	Frequency (%)
Decimal	2	2.6%
10.2108	1	1.3%
10.0019	1	1.3%
9.9125	1	1.3%
9.8528	1	1.3%
9.7783	1	1.3%
9.7186	1	1.3%
9.6442	1	1.3%
9.5694	1	1.3%
9.495	1	1.3%
Other values (62)	62	79.5%
(Missing)	5	6.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
decimal	2	2.7%
10.2108	1	1.4%
14.8881	1	1.4%
15.1119	1	1.4%
15.1567	1	1.4%
15.1714	1	1.4%
15.2014	1	1.4%
15.2311	1	1.4%
12.1136	1	1.4%
11.3528	1	1.4%
Other values (62)	62	84.9%

Most occurring characters

Value	Count	Frequency (%)
1	109	22.1%
.	71	14.4%
4	46	9.3%
3	36	7.3%
6	35	7.1%
5	34	6.9%
7	34	6.9%
2	32	6.5%
9	32	6.5%
0	27	5.5%
Other values (8)	38	7.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	409	82.8%
Other Punctuation	71	14.4%
Lowercase Letter	12	2.4%
Uppercase Letter	2	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	109	26.7%
4	46	11.2%
3	36	8.8%
6	35	8.6%
5	34	8.3%
7	34	8.3%
2	32	7.8%
9	32	7.8%
0	27	6.6%
8	24	5.9%

Lowercase Letter

Value	Count	Frequency (%)
i	2	16.7%
m	2	16.7%
a	2	16.7%
l	2	16.7%
c	2	16.7%
e	2	16.7%

Other Punctuation

Value	Count	Frequency (%)
.	71	100.0%

Uppercase Letter

Value	Count	Frequency (%)
D	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	480	97.2%
Latin	14	2.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	109	22.7%
.	71	14.8%
4	46	9.6%
3	36	7.5%
6	35	7.3%
5	34	7.1%
7	34	7.1%
2	32	6.7%
9	32	6.7%
0	27	5.6%

Latin

Value	Count	Frequency (%)
i	2	14.3%
m	2	14.3%
a	2	14.3%
l	2	14.3%
c	2	14.3%
e	2	14.3%
D	2	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	494	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	109	22.1%
.	71	14.4%
4	46	9.3%
3	36	7.3%
6	35	7.1%
5	34	6.9%
7	34	6.9%
2	32	6.5%
9	32	6.5%
0	27	5.5%
Other values (8)	38	7.7%

Illumination level (Lux)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	75
Distinct (%)	98.7%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Illumination level (Lux)	2
151.495	1
54.5	1
47.9588	1
63.576	1
Other values (70)	70

Length

Max length	24
Median length	8
Mean length	7.328947368
Min length	4

Characters and Unicode

Total characters	557
Distinct characters	27
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	74 ?
Unique (%)	97.4%

Sample

1st row	439.1667
2nd row	436.96
3rd row	443.7183
4th row	240.308
5th row	190.67

Common Values

Value	Count	Frequency (%)
Illumination level (Lux)	2	2.6%
151.495	1	1.3%
54.5	1	1.3%
47.9588	1	1.3%
63.576	1	1.3%
58.5775	1	1.3%
427.921	1	1.3%
358.122	1	1.3%
439.1667	1	1.3%
85.7111	1	1.3%
Other values (65)	65	83.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
illumination	2	2.5%
lux	2	2.5%
level	2	2.5%
437.7333	1	1.2%
438.52	1	1.2%
190.67	1	1.2%
376.4967	1	1.2%
154.2925	1	1.2%
563.365	1	1.2%
463.0075	1	1.2%
Other values (67)	67	83.8%

Most occurring characters

Value	Count	Frequency (%)
.	74	13.3%
5	63	11.3%
1	58	10.4%
3	54	9.7%
4	48	8.6%
7	44	7.9%
8	44	7.9%
6	40	7.2%
2	40	7.2%
9	25	4.5%
Other values (17)	67	12.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	435	78.1%
Other Punctuation	74	13.3%
Lowercase Letter	36	6.5%
Space Separator	4	0.7%
Uppercase Letter	4	0.7%
Close Punctuation	2	0.4%
Open Punctuation	2	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	8	22.2%
n	4	11.1%
e	4	11.1%
i	4	11.1%
u	4	11.1%
x	2	5.6%
v	2	5.6%
o	2	5.6%
t	2	5.6%
a	2	5.6%

Decimal Number

Value	Count	Frequency (%)
5	63	14.5%
1	58	13.3%
3	54	12.4%
4	48	11.0%
7	44	10.1%
8	44	10.1%
6	40	9.2%
2	40	9.2%
9	25	5.7%
0	19	4.4%

Uppercase Letter

Value	Count	Frequency (%)
I	2	50.0%
L	2	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	74	100.0%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	517	92.8%
Latin	40	7.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	74	14.3%
5	63	12.2%
1	58	11.2%
3	54	10.4%
4	48	9.3%
7	44	8.5%
8	44	8.5%
6	40	7.7%
2	40	7.7%
9	25	4.8%
Other values (4)	27	5.2%

Latin

Value	Count	Frequency (%)
l	8	20.0%
n	4	10.0%
e	4	10.0%
i	4	10.0%
u	4	10.0%
I	2	5.0%
x	2	5.0%
v	2	5.0%
o	2	5.0%
t	2	5.0%
Other values (3)	6	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	557	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	74	13.3%
5	63	11.3%
1	58	10.4%
3	54	9.7%
4	48	8.6%
7	44	7.9%
8	44	7.9%
6	40	7.2%
2	40	7.2%
9	25	4.5%
Other values (17)	67	12.0%

Color Tempreture
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	74
Distinct (%)	97.4%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Color Tempreture	2
6003	2
7727.8	1
7173.6429	1
7159	1
Other values (69)	69

Length

Max length	16
Median length	9
Mean length	6.460526316
Min length	4

Characters and Unicode

Total characters	491
Distinct characters	22
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	72 ?
Unique (%)	94.7%

Sample

1st row	7163.3333
2nd row	7256
3rd row	7272.3333
4th row	6369
5th row	6010.1667

Common Values

Value	Count	Frequency (%)
Color Tempreture	2	2.6%
6003	2	2.6%
7727.8	1	1.3%
7173.6429	1	1.3%
7159	1	1.3%
7152.25	1	1.3%
7156.2	1	1.3%
7050.5	1	1.3%
7235.2	1	1.3%
7163.3333	1	1.3%
Other values (64)	64	82.1%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
color	2	2.6%
6003	2	2.6%
tempreture	2	2.6%
7055.6667	1	1.3%
7975.1667	1	1.3%
6010.1667	1	1.3%
6834	1	1.3%
6017.5	1	1.3%
7943	1	1.3%
7540.5714	1	1.3%
Other values (65)	65	83.3%

Most occurring characters

Value	Count	Frequency (%)
7	77	15.7%
6	59	12.0%
3	58	11.8%
.	47	9.6%
5	45	9.2%
2	41	8.4%
1	39	7.9%
0	30	6.1%
4	24	4.9%
9	23	4.7%
Other values (12)	48	9.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	412	83.9%
Other Punctuation	47	9.6%
Lowercase Letter	26	5.3%
Uppercase Letter	4	0.8%
Space Separator	2	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	77	18.7%
6	59	14.3%
3	58	14.1%
5	45	10.9%
2	41	10.0%
1	39	9.5%
0	30	7.3%
4	24	5.8%
9	23	5.6%
8	16	3.9%

Lowercase Letter

Value	Count	Frequency (%)
e	6	23.1%
r	6	23.1%
o	4	15.4%
l	2	7.7%
u	2	7.7%
t	2	7.7%
p	2	7.7%
m	2	7.7%

Uppercase Letter

Value	Count	Frequency (%)
T	2	50.0%
C	2	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	47	100.0%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	461	93.9%
Latin	30	6.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	77	16.7%
6	59	12.8%
3	58	12.6%
.	47	10.2%
5	45	9.8%
2	41	8.9%
1	39	8.5%
0	30	6.5%
4	24	5.2%
9	23	5.0%
Other values (2)	18	3.9%

Latin

Value	Count	Frequency (%)
e	6	20.0%
r	6	20.0%
o	4	13.3%
T	2	6.7%
l	2	6.7%
u	2	6.7%
t	2	6.7%
p	2	6.7%
m	2	6.7%
C	2	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	491	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	77	15.7%
6	59	12.0%
3	58	11.8%
.	47	9.6%
5	45	9.2%
2	41	8.4%
1	39	7.9%
0	30	6.1%
4	24	4.9%
9	23	4.7%
Other values (12)	48	9.8%

Average Noise level
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	74
Distinct (%)	97.4%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Average Noise level	2
26.15	2
62.177	1
27.9107	1
23.0111	1
Other values (69)	69

Length

Max length	19
Median length	7
Mean length	6.881578947
Min length	4

Characters and Unicode

Total characters	523
Distinct characters	23
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	72 ?
Unique (%)	94.7%

Sample

1st row	29.2722
2nd row	27.1722
3rd row	28.1833
4th row	26.4233
5th row	29.5139

Common Values

Value	Count	Frequency (%)
Average Noise level	2	2.6%
26.15	2	2.6%
62.177	1	1.3%
27.9107	1	1.3%
23.0111	1	1.3%
48.9042	1	1.3%
45.8433	1	1.3%
25.5042	1	1.3%
23.98	1	1.3%
29.2722	1	1.3%
Other values (64)	64	82.1%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
average	2	2.5%
26.15	2	2.5%
noise	2	2.5%
level	2	2.5%
57.75	1	1.2%
26.4233	1	1.2%
29.5139	1	1.2%
24.9111	1	1.2%
58.6583	1	1.2%
58.5667	1	1.2%
Other values (66)	66	82.5%

Most occurring characters

Value	Count	Frequency (%)
.	74	14.1%
2	70	13.4%
3	59	11.3%
1	48	9.2%
5	46	8.8%
7	44	8.4%
6	37	7.1%
4	33	6.3%
9	30	5.7%
8	24	4.6%
Other values (13)	58	11.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	411	78.6%
Other Punctuation	74	14.1%
Lowercase Letter	30	5.7%
Space Separator	4	0.8%
Uppercase Letter	4	0.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	70	17.0%
3	59	14.4%
1	48	11.7%
5	46	11.2%
7	44	10.7%
6	37	9.0%
4	33	8.0%
9	30	7.3%
8	24	5.8%
0	20	4.9%

Lowercase Letter

Value	Count	Frequency (%)
e	10	33.3%
l	4	13.3%
v	4	13.3%
s	2	6.7%
i	2	6.7%
o	2	6.7%
g	2	6.7%
a	2	6.7%
r	2	6.7%

Uppercase Letter

Value	Count	Frequency (%)
N	2	50.0%
A	2	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	74	100.0%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	489	93.5%
Latin	34	6.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	74	15.1%
2	70	14.3%
3	59	12.1%
1	48	9.8%
5	46	9.4%
7	44	9.0%
6	37	7.6%
4	33	6.7%
9	30	6.1%
8	24	4.9%
Other values (2)	24	4.9%

Latin

Value	Count	Frequency (%)
e	10	29.4%
l	4	11.8%
v	4	11.8%
s	2	5.9%
i	2	5.9%
o	2	5.9%
N	2	5.9%
g	2	5.9%
a	2	5.9%
r	2	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	523	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	74	14.1%
2	70	13.4%
3	59	11.3%
1	48	9.2%
5	46	8.8%
7	44	8.4%
6	37	7.1%
4	33	6.3%
9	30	5.7%
8	24	4.6%
Other values (13)	58	11.1%

O2 Concentration (%Vol)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	66
Distinct (%)	86.8%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

20.49	3
20.74	2
20.31	2
O2 Concentration (%Vol)	2
20.55	2
Other values (61)	65

Length

Max length	23
Median length	7
Mean length	6.368421053
Min length	4

Characters and Unicode

Total characters	484
Distinct characters	27
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	57 ?
Unique (%)	75.0%

Sample

1st row	20.4633
2nd row	20.47
3rd row	20.4967
4th row	20.622
5th row	20.58

Common Values

Value	Count	Frequency (%)
20.49	3	3.8%
20.74	2	2.6%
20.31	2	2.6%
O2 Concentration (%Vol)	2	2.6%
20.55	2	2.6%
20.425	2	2.6%
20.33	2	2.6%
20.256	2	2.6%
20.4967	2	2.6%
20.192	1	1.3%
Other values (56)	56	71.8%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
20.49	3	3.8%
20.55	2	2.5%
20.74	2	2.5%
20.4967	2	2.5%
20.256	2	2.5%
20.425	2	2.5%
20.33	2	2.5%
vol	2	2.5%
concentration	2	2.5%
o2	2	2.5%
Other values (58)	59	73.8%

Most occurring characters

Value	Count	Frequency (%)
2	106	21.9%
0	79	16.3%
.	74	15.3%
3	37	7.6%
5	33	6.8%
7	26	5.4%
6	23	4.8%
4	21	4.3%
1	16	3.3%
9	13	2.7%
Other values (17)	56	11.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	366	75.6%
Other Punctuation	76	15.7%
Lowercase Letter	28	5.8%
Uppercase Letter	6	1.2%
Space Separator	4	0.8%
Open Punctuation	2	0.4%
Close Punctuation	2	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	106	29.0%
0	79	21.6%
3	37	10.1%
5	33	9.0%
7	26	7.1%
6	23	6.3%
4	21	5.7%
1	16	4.4%
9	13	3.6%
8	12	3.3%

Lowercase Letter

Value	Count	Frequency (%)
o	6	21.4%
n	6	21.4%
t	4	14.3%
e	2	7.1%
r	2	7.1%
a	2	7.1%
i	2	7.1%
l	2	7.1%
c	2	7.1%

Uppercase Letter

Value	Count	Frequency (%)
C	2	33.3%
V	2	33.3%
O	2	33.3%

Other Punctuation

Value	Count	Frequency (%)
.	74	97.4%
%	2	2.6%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	450	93.0%
Latin	34	7.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	106	23.6%
0	79	17.6%
.	74	16.4%
3	37	8.2%
5	33	7.3%
7	26	5.8%
6	23	5.1%
4	21	4.7%
1	16	3.6%
9	13	2.9%
Other values (5)	22	4.9%

Latin

Value	Count	Frequency (%)
o	6	17.6%
n	6	17.6%
t	4	11.8%
C	2	5.9%
e	2	5.9%
r	2	5.9%
a	2	5.9%
i	2	5.9%
V	2	5.9%
l	2	5.9%
Other values (2)	4	11.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	484	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	106	21.9%
0	79	16.3%
.	74	15.3%
3	37	7.6%
5	33	6.8%
7	26	5.4%
6	23	4.8%
4	21	4.3%
1	16	3.3%
9	13	2.7%
Other values (17)	56	11.6%

CO2 at any moment (PPM)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	75
Distinct (%)	98.7%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

CO2 at any moment (PPM)	2
1103.6246	1
1045.9584	1
1081.953	1
1104.2462	1
Other values (70)	70

Length

Max length	23
Median length	8
Mean length	8.578947368
Min length	1

Characters and Unicode

Total characters	652
Distinct characters	26
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	74 ?
Unique (%)	97.4%

Sample

1st row	1280.6112
2nd row	1297.6959
3rd row	1280.9724
4th row	1090.0868
5th row	1070.3733

Common Values

Value	Count	Frequency (%)
CO2 at any moment (PPM)	2	2.6%
1103.6246	1	1.3%
1045.9584	1	1.3%
1081.953	1	1.3%
1104.2462	1	1.3%
1082.4386	1	1.3%
1074.8471	1	1.3%
1108.5911	1	1.3%
1280.6112	1	1.3%
1038.7773	1	1.3%
Other values (65)	65	83.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
co2	2	2.4%
any	2	2.4%
moment	2	2.4%
ppm	2	2.4%
at	2	2.4%
721.9456	1	1.2%
1090.0868	1	1.2%
1070.3733	1	1.2%
955.184	1	1.2%
960.8037	1	1.2%
Other values (69)	69	82.1%

Most occurring characters

Value	Count	Frequency (%)
1	117	17.9%
.	73	11.2%
7	59	9.0%
8	55	8.4%
9	49	7.5%
2	48	7.4%
6	46	7.1%
4	45	6.9%
0	42	6.4%
3	38	5.8%
Other values (16)	80	12.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	534	81.9%
Other Punctuation	73	11.2%
Lowercase Letter	22	3.4%
Uppercase Letter	10	1.5%
Space Separator	8	1.2%
Close Punctuation	2	0.3%
Open Punctuation	2	0.3%
Modifier Symbol	1	0.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	117	21.9%
7	59	11.0%
8	55	10.3%
9	49	9.2%
2	48	9.0%
6	46	8.6%
4	45	8.4%
0	42	7.9%
3	38	7.1%
5	35	6.6%

Lowercase Letter

Value	Count	Frequency (%)
m	4	18.2%
n	4	18.2%
t	4	18.2%
a	4	18.2%
e	2	9.1%
o	2	9.1%
y	2	9.1%

Uppercase Letter

Value	Count	Frequency (%)
P	4	40.0%
C	2	20.0%
M	2	20.0%
O	2	20.0%

Other Punctuation

Value	Count	Frequency (%)
.	73	100.0%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	620	95.1%
Latin	32	4.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	117	18.9%
.	73	11.8%
7	59	9.5%
8	55	8.9%
9	49	7.9%
2	48	7.7%
6	46	7.4%
4	45	7.3%
0	42	6.8%
3	38	6.1%
Other values (5)	48	7.7%

Latin

Value	Count	Frequency (%)
m	4	12.5%
P	4	12.5%
n	4	12.5%
t	4	12.5%
a	4	12.5%
C	2	6.2%
M	2	6.2%
O	2	6.2%
e	2	6.2%
o	2	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	652	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	117	17.9%
.	73	11.2%
7	59	9.0%
8	55	8.4%
9	49	7.5%
2	48	7.4%
6	46	7.1%
4	45	6.9%
0	42	6.4%
3	38	5.8%
Other values (16)	80	12.3%

LPG concen (ppm)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	73
Distinct (%)	96.1%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

3.6252	2
3.9178	2
LPG concen (ppm)	2
3.7988	1
3.0643	1
Other values (68)	68

Length

Max length	16
Median length	6
Mean length	6.144736842
Min length	4

Characters and Unicode

Total characters	467
Distinct characters	23
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	70 ?
Unique (%)	92.1%

Sample

1st row	3.886
2nd row	3.9667
3rd row	3.8465
4th row	3.6904
5th row	3.6421

Common Values

Value	Count	Frequency (%)
3.6252	2	2.6%
3.9178	2	2.6%
LPG concen (ppm)	2	2.6%
3.7988	1	1.3%
3.0643	1	1.3%
3.1066	1	1.3%
3.0435	1	1.3%
3.0396	1	1.3%
3.2974	1	1.3%
2.9027	1	1.3%
Other values (63)	63	80.8%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
3.6252	2	2.5%
lpg	2	2.5%
concen	2	2.5%
ppm	2	2.5%
3.9178	2	2.5%
3.1549	1	1.2%
3.6904	1	1.2%
3.6421	1	1.2%
3.313	1	1.2%
3.3596	1	1.2%
Other values (65)	65	81.2%

Most occurring characters

Value	Count	Frequency (%)
.	74	15.8%
3	70	15.0%
8	40	8.6%
2	40	8.6%
4	37	7.9%
9	33	7.1%
5	30	6.4%
0	30	6.4%
6	30	6.4%
7	27	5.8%
Other values (13)	56	12.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	361	77.3%
Other Punctuation	74	15.8%
Lowercase Letter	18	3.9%
Uppercase Letter	6	1.3%
Space Separator	4	0.9%
Close Punctuation	2	0.4%
Open Punctuation	2	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	70	19.4%
8	40	11.1%
2	40	11.1%
4	37	10.2%
9	33	9.1%
5	30	8.3%
0	30	8.3%
6	30	8.3%
7	27	7.5%
1	24	6.6%

Lowercase Letter

Value	Count	Frequency (%)
p	4	22.2%
c	4	22.2%
n	4	22.2%
m	2	11.1%
o	2	11.1%
e	2	11.1%

Uppercase Letter

Value	Count	Frequency (%)
P	2	33.3%
L	2	33.3%
G	2	33.3%

Other Punctuation

Value	Count	Frequency (%)
.	74	100.0%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	443	94.9%
Latin	24	5.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	74	16.7%
3	70	15.8%
8	40	9.0%
2	40	9.0%
4	37	8.4%
9	33	7.4%
5	30	6.8%
0	30	6.8%
6	30	6.8%
7	27	6.1%
Other values (4)	32	7.2%

Latin

Value	Count	Frequency (%)
p	4	16.7%
c	4	16.7%
n	4	16.7%
m	2	8.3%
o	2	8.3%
e	2	8.3%
P	2	8.3%
L	2	8.3%
G	2	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	467	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	74	15.8%
3	70	15.0%
8	40	8.6%
2	40	8.6%
4	37	7.9%
9	33	7.1%
5	30	6.4%
0	30	6.4%
6	30	6.4%
7	27	5.8%
Other values (13)	56	12.0%

Alcohole Concen (ppm)
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	29
Distinct (%)	38.2%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

0.0043	8
0.0036	6
0.0035	6
0.0031	6
0.0042	6
Other values (24)	44

Length

Max length	21
Median length	6
Mean length	6.315789474
Min length	5

Characters and Unicode

Total characters	480
Distinct characters	24
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	17.1%

Sample

1st row	0.0043
2nd row	0.0043
3rd row	0.0043
4th row	0.0043
5th row	0.0042

Common Values

Value	Count	Frequency (%)
0.0043	8	10.3%
0.0036	6	7.7%
0.0035	6	7.7%
0.0031	6	7.7%
0.0042	6	7.7%
0.003	4	5.1%
0.0029	4	5.1%
0.0017	3	3.8%
0.0037	3	3.8%
0.0055	3	3.8%
Other values (19)	27	34.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0.0043	8	10.0%
0.0036	6	7.5%
0.0035	6	7.5%
0.0031	6	7.5%
0.0042	6	7.5%
0.003	4	5.0%
0.0029	4	5.0%
0.0017	3	3.8%
0.0037	3	3.8%
0.0055	3	3.8%
Other values (21)	31	38.8%

Most occurring characters

Value	Count	Frequency (%)
0	219	45.6%
.	74	15.4%
3	41	8.5%
4	29	6.0%
5	16	3.3%
2	16	3.3%
1	13	2.7%
6	9	1.9%
7	9	1.9%
8	7	1.5%
Other values (14)	47	9.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	364	75.8%
Other Punctuation	74	15.4%
Lowercase Letter	30	6.2%
Space Separator	4	0.8%
Uppercase Letter	4	0.8%
Open Punctuation	2	0.4%
Close Punctuation	2	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	219	60.2%
3	41	11.3%
4	29	8.0%
5	16	4.4%
2	16	4.4%
1	13	3.6%
6	9	2.5%
7	9	2.5%
8	7	1.9%
9	5	1.4%

Lowercase Letter

Value	Count	Frequency (%)
o	6	20.0%
e	4	13.3%
p	4	13.3%
n	4	13.3%
l	4	13.3%
c	4	13.3%
h	2	6.7%
m	2	6.7%

Uppercase Letter

Value	Count	Frequency (%)
C	2	50.0%
A	2	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	74	100.0%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	446	92.9%
Latin	34	7.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	219	49.1%
.	74	16.6%
3	41	9.2%
4	29	6.5%
5	16	3.6%
2	16	3.6%
1	13	2.9%
6	9	2.0%
7	9	2.0%
8	7	1.6%
Other values (4)	13	2.9%

Latin

Value	Count	Frequency (%)
o	6	17.6%
e	4	11.8%
p	4	11.8%
n	4	11.8%
l	4	11.8%
c	4	11.8%
h	2	5.9%
C	2	5.9%
A	2	5.9%
m	2	5.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	480	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	219	45.6%
.	74	15.4%
3	41	8.5%
4	29	6.0%
5	16	3.3%
2	16	3.3%
1	13	2.7%
6	9	1.9%
7	9	1.9%
8	7	1.5%
Other values (14)	47	9.8%

Methan Concen (ppm)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	70
Distinct (%)	92.1%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

0.282	2
0.3118	2
Methan Concen (ppm)	2
0.3167	2
0.271	2
Other values (65)	66

Length

Max length	19
Median length	6
Mean length	6.171052632
Min length	5

Characters and Unicode

Total characters	469
Distinct characters	25
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	64 ?
Unique (%)	84.2%

Sample

1st row	0.2984
2nd row	0.2883
3rd row	0.2934
4th row	0.3027
5th row	0.3011

Common Values

Value	Count	Frequency (%)
0.282	2	2.6%
0.3118	2	2.6%
Methan Concen (ppm)	2	2.6%
0.3167	2	2.6%
0.271	2	2.6%
0.2933	2	2.6%
0.3178	1	1.3%
0.3184	1	1.3%
0.3112	1	1.3%
0.3247	1	1.3%
Other values (60)	60	76.9%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0.282	2	2.5%
methan	2	2.5%
concen	2	2.5%
ppm	2	2.5%
0.3167	2	2.5%
0.271	2	2.5%
0.2933	2	2.5%
0.3118	2	2.5%
0.2747	1	1.2%
0.346	1	1.2%
Other values (62)	62	77.5%

Most occurring characters

Value	Count	Frequency (%)
0	82	17.5%
.	74	15.8%
3	60	12.8%
2	47	10.0%
1	32	6.8%
7	29	6.2%
9	25	5.3%
8	23	4.9%
6	21	4.5%
4	20	4.3%
Other values (15)	56	11.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	357	76.1%
Other Punctuation	74	15.8%
Lowercase Letter	26	5.5%
Space Separator	4	0.9%
Uppercase Letter	4	0.9%
Open Punctuation	2	0.4%
Close Punctuation	2	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	82	23.0%
3	60	16.8%
2	47	13.2%
1	32	9.0%
7	29	8.1%
9	25	7.0%
8	23	6.4%
6	21	5.9%
4	20	5.6%
5	18	5.0%

Lowercase Letter

Value	Count	Frequency (%)
n	6	23.1%
p	4	15.4%
e	4	15.4%
a	2	7.7%
o	2	7.7%
c	2	7.7%
m	2	7.7%
h	2	7.7%
t	2	7.7%

Uppercase Letter

Value	Count	Frequency (%)
C	2	50.0%
M	2	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	74	100.0%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	439	93.6%
Latin	30	6.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	82	18.7%
.	74	16.9%
3	60	13.7%
2	47	10.7%
1	32	7.3%
7	29	6.6%
9	25	5.7%
8	23	5.2%
6	21	4.8%
4	20	4.6%
Other values (4)	26	5.9%

Latin

Value	Count	Frequency (%)
n	6	20.0%
p	4	13.3%
e	4	13.3%
a	2	6.7%
C	2	6.7%
o	2	6.7%
c	2	6.7%
m	2	6.7%
h	2	6.7%
t	2	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	469	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	82	17.5%
.	74	15.8%
3	60	12.8%
2	47	10.0%
1	32	6.8%
7	29	6.2%
9	25	5.3%
8	23	4.9%
6	21	4.5%
4	20	4.3%
Other values (15)	56	11.9%

CO concen (ppm)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	71
Distinct (%)	93.4%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

6.328	3
6.2845	2
CO concen (ppm)	2
6.8157	2
7.4632	1
Other values (66)	66

Length

Max length	15
Median length	6
Mean length	6.118421053
Min length	4

Characters and Unicode

Total characters	465
Distinct characters	22
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	67 ?
Unique (%)	88.2%

Sample

1st row	5.7167
2nd row	5.8004
3rd row	5.8006
4th row	6.907
5th row	6.7815

Common Values

Value	Count	Frequency (%)
6.328	3	3.8%
6.2845	2	2.6%
CO concen (ppm)	2	2.6%
6.8157	2	2.6%
7.4632	1	1.3%
7.4634	1	1.3%
6.5035	1	1.3%
6.2267	1	1.3%
6.5489	1	1.3%
6.4642	1	1.3%
Other values (61)	61	78.2%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
6.328	3	3.8%
co	2	2.5%
concen	2	2.5%
ppm	2	2.5%
6.8157	2	2.5%
6.2845	2	2.5%
6.5926	1	1.2%
6.907	1	1.2%
6.7815	1	1.2%
6.9532	1	1.2%
Other values (63)	63	78.8%

Most occurring characters

Value	Count	Frequency (%)
.	74	15.9%
6	67	14.4%
7	49	10.5%
5	46	9.9%
2	38	8.2%
4	33	7.1%
9	27	5.8%
8	27	5.8%
3	27	5.8%
1	25	5.4%
Other values (12)	52	11.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	361	77.6%
Other Punctuation	74	15.9%
Lowercase Letter	18	3.9%
Space Separator	4	0.9%
Uppercase Letter	4	0.9%
Open Punctuation	2	0.4%
Close Punctuation	2	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	67	18.6%
7	49	13.6%
5	46	12.7%
2	38	10.5%
4	33	9.1%
9	27	7.5%
8	27	7.5%
3	27	7.5%
1	25	6.9%
0	22	6.1%

Lowercase Letter

Value	Count	Frequency (%)
c	4	22.2%
n	4	22.2%
p	4	22.2%
e	2	11.1%
m	2	11.1%
o	2	11.1%

Uppercase Letter

Value	Count	Frequency (%)
C	2	50.0%
O	2	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	74	100.0%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	443	95.3%
Latin	22	4.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	74	16.7%
6	67	15.1%
7	49	11.1%
5	46	10.4%
2	38	8.6%
4	33	7.4%
9	27	6.1%
8	27	6.1%
3	27	6.1%
1	25	5.6%
Other values (4)	30	6.8%

Latin

Value	Count	Frequency (%)
c	4	18.2%
n	4	18.2%
p	4	18.2%
C	2	9.1%
O	2	9.1%
e	2	9.1%
m	2	9.1%
o	2	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	465	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	74	15.9%
6	67	14.4%
7	49	10.5%
5	46	9.9%
2	38	8.2%
4	33	7.1%
9	27	5.8%
8	27	5.8%
3	27	5.8%
1	25	5.4%
Other values (12)	52	11.2%

Hydrogyn Concen (ppm)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	72
Distinct (%)	94.7%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

40.7051	2
40.1119	2
Hydrogyn Concen (ppm)	2
40.1967	2
45.48	1
Other values (67)	67

Length

Max length	21
Median length	7
Mean length	7.25
Min length	5

Characters and Unicode

Total characters	551
Distinct characters	26
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	68 ?
Unique (%)	89.5%

Sample

1st row	42.5653
2nd row	43.0154
3rd row	42.4246
4th row	40.8067
5th row	40.9872

Common Values

Value	Count	Frequency (%)
40.7051	2	2.6%
40.1119	2	2.6%
Hydrogyn Concen (ppm)	2	2.6%
40.1967	2	2.6%
45.48	1	1.3%
45.4314	1	1.3%
45.1882	1	1.3%
45.2613	1	1.3%
41.1284	1	1.3%
40.8745	1	1.3%
Other values (62)	62	79.5%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
40.7051	2	2.5%
hydrogyn	2	2.5%
concen	2	2.5%
ppm	2	2.5%
40.1967	2	2.5%
40.1119	2	2.5%
40.0271	1	1.2%
42.4117	1	1.2%
42.497	1	1.2%
42.8386	1	1.2%
Other values (64)	64	80.0%

Most occurring characters

Value	Count	Frequency (%)
4	98	17.8%
.	74	13.4%
1	58	10.5%
5	51	9.3%
2	41	7.4%
6	37	6.7%
0	34	6.2%
3	33	6.0%
8	32	5.8%
7	31	5.6%
Other values (16)	62	11.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	435	78.9%
Other Punctuation	74	13.4%
Lowercase Letter	30	5.4%
Space Separator	4	0.7%
Uppercase Letter	4	0.7%
Open Punctuation	2	0.4%
Close Punctuation	2	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	98	22.5%
1	58	13.3%
5	51	11.7%
2	41	9.4%
6	37	8.5%
0	34	7.8%
3	33	7.6%
8	32	7.4%
7	31	7.1%
9	20	4.6%

Lowercase Letter

Value	Count	Frequency (%)
n	6	20.0%
o	4	13.3%
p	4	13.3%
y	4	13.3%
g	2	6.7%
r	2	6.7%
c	2	6.7%
e	2	6.7%
m	2	6.7%
d	2	6.7%

Uppercase Letter

Value	Count	Frequency (%)
H	2	50.0%
C	2	50.0%

Other Punctuation

Value	Count	Frequency (%)
.	74	100.0%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	517	93.8%
Latin	34	6.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	98	19.0%
.	74	14.3%
1	58	11.2%
5	51	9.9%
2	41	7.9%
6	37	7.2%
0	34	6.6%
3	33	6.4%
8	32	6.2%
7	31	6.0%
Other values (4)	28	5.4%

Latin

Value	Count	Frequency (%)
n	6	17.6%
o	4	11.8%
p	4	11.8%
y	4	11.8%
g	2	5.9%
r	2	5.9%
c	2	5.9%
e	2	5.9%
m	2	5.9%
d	2	5.9%
Other values (2)	4	11.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	551	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	98	17.8%
.	74	13.4%
1	58	10.5%
5	51	9.3%
2	41	7.4%
6	37	6.7%
0	34	6.2%
3	33	6.0%
8	32	5.8%
7	31	5.6%
Other values (16)	62	11.3%

Netric tVOC level (ppm)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	69
Distinct (%)	90.8%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

0.4071	4
0.4219	2
0.4371	2
Netric tVOC level (ppm)	2
0.3391	2
Other values (64)	64

Length

Max length	23
Median length	6
Mean length	6.381578947
Min length	5

Characters and Unicode

Total characters	485
Distinct characters	27
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	64 ?
Unique (%)	84.2%

Sample

1st row	0.3324
2nd row	0.3487
3rd row	0.2661
4th row	0.4134
5th row	0.415

Common Values

Value	Count	Frequency (%)
0.4071	4	5.1%
0.4219	2	2.6%
0.4371	2	2.6%
Netric tVOC level (ppm)	2	2.6%
0.3391	2	2.6%
0.5555	1	1.3%
0.5466	1	1.3%
0.6436	1	1.3%
0.5966	1	1.3%
0.5873	1	1.3%
Other values (59)	59	75.6%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0.4071	4	4.9%
0.4371	2	2.4%
netric	2	2.4%
tvoc	2	2.4%
level	2	2.4%
ppm	2	2.4%
0.3391	2	2.4%
0.4219	2	2.4%
0.3881	1	1.2%
0.2692	1	1.2%
Other values (62)	62	75.6%

Most occurring characters

Value	Count	Frequency (%)
0	88	18.1%
.	74	15.3%
6	41	8.5%
2	37	7.6%
3	35	7.2%
7	30	6.2%
4	29	6.0%
1	29	6.0%
9	27	5.6%
5	27	5.6%
Other values (17)	68	14.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	365	75.3%
Other Punctuation	74	15.3%
Lowercase Letter	28	5.8%
Uppercase Letter	8	1.6%
Space Separator	6	1.2%
Open Punctuation	2	0.4%
Close Punctuation	2	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	88	24.1%
6	41	11.2%
2	37	10.1%
3	35	9.6%
7	30	8.2%
4	29	7.9%
1	29	7.9%
9	27	7.4%
5	27	7.4%
8	22	6.0%

Lowercase Letter

Value	Count	Frequency (%)
e	6	21.4%
t	4	14.3%
l	4	14.3%
p	4	14.3%
r	2	7.1%
i	2	7.1%
v	2	7.1%
m	2	7.1%
c	2	7.1%

Uppercase Letter

Value	Count	Frequency (%)
V	2	25.0%
O	2	25.0%
C	2	25.0%
N	2	25.0%

Other Punctuation

Value	Count	Frequency (%)
.	74	100.0%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	449	92.6%
Latin	36	7.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	88	19.6%
.	74	16.5%
6	41	9.1%
2	37	8.2%
3	35	7.8%
7	30	6.7%
4	29	6.5%
1	29	6.5%
9	27	6.0%
5	27	6.0%
Other values (4)	32	7.1%

Latin

Value	Count	Frequency (%)
e	6	16.7%
t	4	11.1%
l	4	11.1%
p	4	11.1%
r	2	5.6%
i	2	5.6%
V	2	5.6%
O	2	5.6%
C	2	5.6%
v	2	5.6%
Other values (3)	6	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	485	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	88	18.1%
.	74	15.3%
6	41	8.5%
2	37	7.6%
3	35	7.2%
7	30	6.2%
4	29	6.0%
1	29	6.0%
9	27	5.6%
5	27	5.6%
Other values (17)	68	14.0%

VOC Formerdahied Level (ppm)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	69
Distinct (%)	90.8%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

0.329	3
0.309	2
0.2897	2
0.2536	2
VOC Formerdahied Level (ppm)	2
Other values (64)	65

Length

Max length	28
Median length	6
Mean length	6.434210526
Min length	5

Characters and Unicode

Total characters	489
Distinct characters	30
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	63 ?
Unique (%)	82.9%

Sample

1st row	0.4855
2nd row	0.5037
3rd row	0.4777
4th row	0.2679
5th row	0.2599

Common Values

Value	Count	Frequency (%)
0.329	3	3.8%
0.309	2	2.6%
0.2897	2	2.6%
0.2536	2	2.6%
VOC Formerdahied Level (ppm)	2	2.6%
0.5486	2	2.6%
0.5348	1	1.3%
0.5881	1	1.3%
0.5648	1	1.3%
0.5138	1	1.3%
Other values (59)	59	75.6%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0.329	3	3.7%
formerdahied	2	2.4%
0.5486	2	2.4%
ppm	2	2.4%
level	2	2.4%
0.309	2	2.4%
voc	2	2.4%
0.2897	2	2.4%
0.2536	2	2.4%
0.1636	1	1.2%
Other values (62)	62	75.6%

Most occurring characters

Value	Count	Frequency (%)
0	85	17.4%
.	74	15.1%
5	40	8.2%
2	37	7.6%
6	36	7.4%
4	36	7.4%
3	29	5.9%
8	25	5.1%
7	25	5.1%
9	24	4.9%
Other values (20)	78	16.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	359	73.4%
Other Punctuation	74	15.1%
Lowercase Letter	36	7.4%
Uppercase Letter	10	2.0%
Space Separator	6	1.2%
Close Punctuation	2	0.4%
Open Punctuation	2	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8	22.2%
r	4	11.1%
p	4	11.1%
m	4	11.1%
d	4	11.1%
v	2	5.6%
l	2	5.6%
i	2	5.6%
a	2	5.6%
o	2	5.6%

Decimal Number

Value	Count	Frequency (%)
0	85	23.7%
5	40	11.1%
2	37	10.3%
6	36	10.0%
4	36	10.0%
3	29	8.1%
8	25	7.0%
7	25	7.0%
9	24	6.7%
1	22	6.1%

Uppercase Letter

Value	Count	Frequency (%)
V	2	20.0%
C	2	20.0%
L	2	20.0%
O	2	20.0%
F	2	20.0%

Other Punctuation

Value	Count	Frequency (%)
.	74	100.0%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	443	90.6%
Latin	46	9.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8	17.4%
r	4	8.7%
p	4	8.7%
m	4	8.7%
d	4	8.7%
v	2	4.3%
V	2	4.3%
l	2	4.3%
C	2	4.3%
L	2	4.3%
Other values (6)	12	26.1%

Common

Value	Count	Frequency (%)
0	85	19.2%
.	74	16.7%
5	40	9.0%
2	37	8.4%
6	36	8.1%
4	36	8.1%
3	29	6.5%
8	25	5.6%
7	25	5.6%
9	24	5.4%
Other values (4)	32	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	489	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	85	17.4%
.	74	15.1%
5	40	8.2%
2	37	7.6%
6	36	7.4%
4	36	7.4%
3	29	5.9%
8	25	5.1%
7	25	5.1%
9	24	4.9%
Other values (20)	78	16.0%

Different VOC (CO) Level (ppm)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	63
Distinct (%)	82.9%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

3.4783	8
2.9605	4
4.0099	2
3.4852	2
Different VOC (CO) Level (ppm)	2
Other values (58)	58

Length

Max length	30
Median length	6
Mean length	6.486842105
Min length	4

Characters and Unicode

Total characters	493
Distinct characters	29
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	58 ?
Unique (%)	76.3%

Sample

1st row	3.1331
2nd row	3.8327
3rd row	2.9656
4th row	3.6909
5th row	3.8348

Common Values

Value	Count	Frequency (%)
3.4783	8	10.3%
2.9605	4	5.1%
4.0099	2	2.6%
3.4852	2	2.6%
Different VOC (CO) Level (ppm)	2	2.6%
4.4473	1	1.3%
4.1807	1	1.3%
4.5247	1	1.3%
5.9573	1	1.3%
3.8475	1	1.3%
Other values (53)	53	67.9%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
3.4783	8	9.5%
2.9605	4	4.8%
4.0099	2	2.4%
different	2	2.4%
voc	2	2.4%
co	2	2.4%
level	2	2.4%
ppm	2	2.4%
3.4852	2	2.4%
5.6801	1	1.2%
Other values (57)	57	67.9%

Most occurring characters

Value	Count	Frequency (%)
.	74	15.0%
4	55	11.2%
7	46	9.3%
3	45	9.1%
2	35	7.1%
5	35	7.1%
6	33	6.7%
1	30	6.1%
8	30	6.1%
0	27	5.5%
Other values (19)	83	16.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	359	72.8%
Other Punctuation	74	15.0%
Lowercase Letter	30	6.1%
Uppercase Letter	14	2.8%
Space Separator	8	1.6%
Open Punctuation	4	0.8%
Close Punctuation	4	0.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	55	15.3%
7	46	12.8%
3	45	12.5%
2	35	9.7%
5	35	9.7%
6	33	9.2%
1	30	8.4%
8	30	8.4%
0	27	7.5%
9	23	6.4%

Lowercase Letter

Value	Count	Frequency (%)
e	8	26.7%
p	4	13.3%
f	4	13.3%
m	2	6.7%
l	2	6.7%
v	2	6.7%
t	2	6.7%
n	2	6.7%
i	2	6.7%
r	2	6.7%

Uppercase Letter

Value	Count	Frequency (%)
O	4	28.6%
C	4	28.6%
L	2	14.3%
V	2	14.3%
D	2	14.3%

Other Punctuation

Value	Count	Frequency (%)
.	74	100.0%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	4	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	449	91.1%
Latin	44	8.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8	18.2%
p	4	9.1%
f	4	9.1%
O	4	9.1%
C	4	9.1%
L	2	4.5%
m	2	4.5%
l	2	4.5%
v	2	4.5%
V	2	4.5%
Other values (5)	10	22.7%

Common

Value	Count	Frequency (%)
.	74	16.5%
4	55	12.2%
7	46	10.2%
3	45	10.0%
2	35	7.8%
5	35	7.8%
6	33	7.3%
1	30	6.7%
8	30	6.7%
0	27	6.0%
Other values (4)	39	8.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	493	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	74	15.0%
4	55	11.2%
7	46	9.3%
3	45	9.1%
2	35	7.1%
5	35	7.1%
6	33	6.7%
1	30	6.1%
8	30	6.1%
0	27	5.5%
Other values (19)	83	16.8%

Room Temp ( C )
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	73
Distinct (%)	96.1%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

24.4	2
Room Temp ( C )	2
22.6188	2
22.26	1
22.3786	1
Other values (68)	68

Length

Max length	15
Median length	7
Mean length	6.434210526
Min length	4

Characters and Unicode

Total characters	489
Distinct characters	21
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	70 ?
Unique (%)	92.1%

Sample

1st row	25.325
2nd row	25.3583
3rd row	25.2417
4th row	24.305
5th row	24.0292

Common Values

Value	Count	Frequency (%)
24.4	2	2.6%
Room Temp ( C )	2	2.6%
22.6188	2	2.6%
22.26	1	1.3%
22.3786	1	1.3%
22.475	1	1.3%
22.3875	1	1.3%
22.505	1	1.3%
22.4875	1	1.3%
25.325	1	1.3%
Other values (63)	63	80.8%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	4	4.8%
24.4	2	2.4%
temp	2	2.4%
c	2	2.4%
22.6188	2	2.4%
room	2	2.4%
24.3929	1	1.2%
25.2417	1	1.2%
24.305	1	1.2%
24.0292	1	1.2%
Other values (66)	66	78.6%

Most occurring characters

Value	Count	Frequency (%)
2	125	25.6%
.	74	15.1%
5	58	11.9%
3	41	8.4%
7	36	7.4%
4	34	7.0%
8	26	5.3%
1	25	5.1%
6	24	4.9%
0	8	1.6%
Other values (11)	38	7.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	385	78.7%
Other Punctuation	74	15.1%
Lowercase Letter	12	2.5%
Space Separator	8	1.6%
Uppercase Letter	6	1.2%
Close Punctuation	2	0.4%
Open Punctuation	2	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	125	32.5%
5	58	15.1%
3	41	10.6%
7	36	9.4%
4	34	8.8%
8	26	6.8%
1	25	6.5%
6	24	6.2%
0	8	2.1%
9	8	2.1%

Lowercase Letter

Value	Count	Frequency (%)
m	4	33.3%
o	4	33.3%
p	2	16.7%
e	2	16.7%

Uppercase Letter

Value	Count	Frequency (%)
C	2	33.3%
T	2	33.3%
R	2	33.3%

Other Punctuation

Value	Count	Frequency (%)
.	74	100.0%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	471	96.3%
Latin	18	3.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	125	26.5%
.	74	15.7%
5	58	12.3%
3	41	8.7%
7	36	7.6%
4	34	7.2%
8	26	5.5%
1	25	5.3%
6	24	5.1%
0	8	1.7%
Other values (4)	20	4.2%

Latin

Value	Count	Frequency (%)
m	4	22.2%
o	4	22.2%
C	2	11.1%
p	2	11.1%
e	2	11.1%
T	2	11.1%
R	2	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	489	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	125	25.6%
.	74	15.1%
5	58	11.9%
3	41	8.4%
7	36	7.4%
4	34	7.0%
8	26	5.3%
1	25	5.1%
6	24	4.9%
0	8	1.6%
Other values (11)	38	7.8%

Room reative humadity %
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	72
Distinct (%)	94.7%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

55.7	2
Room reative humadity %	2
49.2	2
62.975	2
51.2833	1
Other values (67)	67

Length

Max length	23
Median length	7
Mean length	5.973684211
Min length	2

Characters and Unicode

Total characters	454
Distinct characters	26
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	68 ?
Unique (%)	89.5%

Sample

1st row	51.2833
2nd row	51.35
3rd row	51.4667
4th row	57.68
5th row	59.3417

Common Values

Value	Count	Frequency (%)
55.7	2	2.6%
Room reative humadity %	2	2.6%
49.2	2	2.6%
62.975	2	2.6%
51.2833	1	1.3%
61.99	1	1.3%
62.8833	1	1.3%
63.15	1	1.3%
62.53	1	1.3%
62.43	1	1.3%
Other values (62)	62	79.5%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
55.7	2	2.4%
reative	2	2.4%
humadity	2	2.4%
	2	2.4%
49.2	2	2.4%
62.975	2	2.4%
room	2	2.4%
63	1	1.2%
57.68	1	1.2%
59.3417	1	1.2%
Other values (65)	65	79.3%

Most occurring characters

Value	Count	Frequency (%)
5	72	15.9%
.	70	15.4%
6	59	13.0%
3	41	9.0%
2	39	8.6%
1	36	7.9%
7	31	6.8%
4	25	5.5%
8	14	3.1%
9	13	2.9%
Other values (16)	54	11.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	338	74.4%
Other Punctuation	72	15.9%
Lowercase Letter	36	7.9%
Space Separator	6	1.3%
Uppercase Letter	2	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	4	11.1%
t	4	11.1%
a	4	11.1%
e	4	11.1%
m	4	11.1%
o	4	11.1%
v	2	5.6%
u	2	5.6%
d	2	5.6%
y	2	5.6%
Other values (2)	4	11.1%

Decimal Number

Value	Count	Frequency (%)
5	72	21.3%
6	59	17.5%
3	41	12.1%
2	39	11.5%
1	36	10.7%
7	31	9.2%
4	25	7.4%
8	14	4.1%
9	13	3.8%
0	8	2.4%

Other Punctuation

Value	Count	Frequency (%)
.	70	97.2%
%	2	2.8%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Uppercase Letter

Value	Count	Frequency (%)
R	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	416	91.6%
Latin	38	8.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	72	17.3%
.	70	16.8%
6	59	14.2%
3	41	9.9%
2	39	9.4%
1	36	8.7%
7	31	7.5%
4	25	6.0%
8	14	3.4%
9	13	3.1%
Other values (3)	16	3.8%

Latin

Value	Count	Frequency (%)
i	4	10.5%
t	4	10.5%
a	4	10.5%
e	4	10.5%
m	4	10.5%
o	4	10.5%
v	2	5.3%
u	2	5.3%
d	2	5.3%
y	2	5.3%
Other values (3)	6	15.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	454	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	72	15.9%
.	70	15.4%
6	59	13.0%
3	41	9.0%
2	39	8.6%
1	36	7.9%
7	31	6.8%
4	25	5.5%
8	14	3.1%
9	13	2.9%
Other values (16)	54	11.9%

Radiant Temp 1 (C)
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	45
Distinct (%)	59.2%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

21	7
23	7
20	4
24	3
23.5	3
Other values (40)	52

Length

Max length	18
Median length	7
Mean length	4.513157895
Min length	2

Characters and Unicode

Total characters	343
Distinct characters	25
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28 ?
Unique (%)	36.8%

Sample

1st row	24
2nd row	23
3rd row	23.6667
4th row	21
5th row	19.3333

Common Values

Value	Count	Frequency (%)
21	7	9.0%
23	7	9.0%
20	4	5.1%
24	3	3.8%
23.5	3	3.8%
Radiant Temp 1 (C)	2	2.6%
21.6	2	2.6%
20.3333	2	2.6%
21.5	2	2.6%
18	2	2.6%
Other values (35)	42	53.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
21	7	8.5%
23	7	8.5%
20	4	4.9%
24	3	3.7%
23.5	3	3.7%
18	2	2.4%
22.6667	2	2.4%
22.5	2	2.4%
22	2	2.4%
20.6667	2	2.4%
Other values (38)	48	58.5%

Most occurring characters

Value	Count	Frequency (%)
2	80	23.3%
.	45	13.1%
3	38	11.1%
1	38	11.1%
6	27	7.9%
5	23	6.7%
7	15	4.4%
0	15	4.4%
8	10	2.9%
9	9	2.6%
Other values (15)	43	12.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	264	77.0%
Other Punctuation	45	13.1%
Lowercase Letter	18	5.2%
Space Separator	6	1.7%
Uppercase Letter	6	1.7%
Open Punctuation	2	0.6%
Close Punctuation	2	0.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	80	30.3%
3	38	14.4%
1	38	14.4%
6	27	10.2%
5	23	8.7%
7	15	5.7%
0	15	5.7%
8	10	3.8%
9	9	3.4%
4	9	3.4%

Lowercase Letter

Value	Count	Frequency (%)
a	4	22.2%
m	2	11.1%
p	2	11.1%
e	2	11.1%
n	2	11.1%
i	2	11.1%
d	2	11.1%
t	2	11.1%

Uppercase Letter

Value	Count	Frequency (%)
R	2	33.3%
C	2	33.3%
T	2	33.3%

Other Punctuation

Value	Count	Frequency (%)
.	45	100.0%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	319	93.0%
Latin	24	7.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	80	25.1%
.	45	14.1%
3	38	11.9%
1	38	11.9%
6	27	8.5%
5	23	7.2%
7	15	4.7%
0	15	4.7%
8	10	3.1%
9	9	2.8%
Other values (4)	19	6.0%

Latin

Value	Count	Frequency (%)
a	4	16.7%
R	2	8.3%
C	2	8.3%
m	2	8.3%
p	2	8.3%
e	2	8.3%
T	2	8.3%
n	2	8.3%
i	2	8.3%
d	2	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	343	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	80	23.3%
.	45	13.1%
3	38	11.1%
1	38	11.1%
6	27	7.9%
5	23	6.7%
7	15	4.4%
0	15	4.4%
8	10	2.9%
9	9	2.6%
Other values (15)	43	12.5%

Radiant Temp 2 (C)
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	44
Distinct (%)	57.9%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

23	5
19	4
24	4
24.3333	4
22	4
Other values (39)	55

Length

Max length	18
Median length	7
Mean length	4.644736842
Min length	2

Characters and Unicode

Total characters	353
Distinct characters	25
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26 ?
Unique (%)	34.2%

Sample

1st row	24.6667
2nd row	24.3333
3rd row	24.3333
4th row	23
5th row	20.3333

Common Values

Value	Count	Frequency (%)
23	5	6.4%
19	4	5.1%
24	4	5.1%
24.3333	4	5.1%
22	4	5.1%
23.6667	3	3.8%
25.5	3	3.8%
21	3	3.8%
23.25	2	2.6%
20	2	2.6%
Other values (34)	42	53.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
23	5	6.1%
24	4	4.9%
24.3333	4	4.9%
22	4	4.9%
19	4	4.9%
23.6667	3	3.7%
25.5	3	3.7%
21	3	3.7%
2	2	2.4%
24.75	2	2.4%
Other values (37)	48	58.5%

Most occurring characters

Value	Count	Frequency (%)
2	88	24.9%
.	47	13.3%
3	44	12.5%
6	33	9.3%
1	26	7.4%
5	22	6.2%
4	20	5.7%
7	20	5.7%
8	8	2.3%
9	6	1.7%
Other values (15)	39	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	272	77.1%
Other Punctuation	47	13.3%
Lowercase Letter	18	5.1%
Space Separator	6	1.7%
Uppercase Letter	6	1.7%
Open Punctuation	2	0.6%
Close Punctuation	2	0.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	88	32.4%
3	44	16.2%
6	33	12.1%
1	26	9.6%
5	22	8.1%
4	20	7.4%
7	20	7.4%
8	8	2.9%
9	6	2.2%
0	5	1.8%

Lowercase Letter

Value	Count	Frequency (%)
a	4	22.2%
d	2	11.1%
i	2	11.1%
n	2	11.1%
t	2	11.1%
e	2	11.1%
m	2	11.1%
p	2	11.1%

Uppercase Letter

Value	Count	Frequency (%)
R	2	33.3%
T	2	33.3%
C	2	33.3%

Other Punctuation

Value	Count	Frequency (%)
.	47	100.0%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	329	93.2%
Latin	24	6.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	88	26.7%
.	47	14.3%
3	44	13.4%
6	33	10.0%
1	26	7.9%
5	22	6.7%
4	20	6.1%
7	20	6.1%
8	8	2.4%
9	6	1.8%
Other values (4)	15	4.6%

Latin

Value	Count	Frequency (%)
a	4	16.7%
d	2	8.3%
i	2	8.3%
n	2	8.3%
t	2	8.3%
R	2	8.3%
T	2	8.3%
e	2	8.3%
m	2	8.3%
p	2	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	353	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	88	24.9%
.	47	13.3%
3	44	12.5%
6	33	9.3%
1	26	7.4%
5	22	6.2%
4	20	5.7%
7	20	5.7%
8	8	2.3%
9	6	1.7%
Other values (15)	39	11.0%

Radiant Temp 3 (C)
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	42
Distinct (%)	55.3%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

25	7
24	6
23	5
27	4
22	4
Other values (37)	50

Length

Max length	18
Median length	7
Mean length	4.276315789
Min length	2

Characters and Unicode

Total characters	325
Distinct characters	25
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28 ?
Unique (%)	36.8%

Sample

1st row	24
2nd row	25
3rd row	27
4th row	24
5th row	22.6667

Common Values

Value	Count	Frequency (%)
25	7	9.0%
24	6	7.7%
23	5	6.4%
27	4	5.1%
22	4	5.1%
21	4	5.1%
22.6667	3	3.8%
20	3	3.8%
23.8667	2	2.6%
23.2	2	2.6%
Other values (32)	36	46.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
25	7	8.5%
24	6	7.3%
23	5	6.1%
27	4	4.9%
22	4	4.9%
21	4	4.9%
22.6667	3	3.7%
20	3	3.7%
temp	2	2.4%
25.3333	2	2.4%
Other values (35)	42	51.2%

Most occurring characters

Value	Count	Frequency (%)
2	88	27.1%
.	38	11.7%
3	37	11.4%
5	30	9.2%
6	25	7.7%
4	21	6.5%
7	19	5.8%
1	16	4.9%
8	10	3.1%
	6	1.8%
Other values (15)	35	10.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	253	77.8%
Other Punctuation	38	11.7%
Lowercase Letter	18	5.5%
Space Separator	6	1.8%
Uppercase Letter	6	1.8%
Close Punctuation	2	0.6%
Open Punctuation	2	0.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	88	34.8%
3	37	14.6%
5	30	11.9%
6	25	9.9%
4	21	8.3%
7	19	7.5%
1	16	6.3%
8	10	4.0%
0	5	2.0%
9	2	0.8%

Lowercase Letter

Value	Count	Frequency (%)
a	4	22.2%
e	2	11.1%
p	2	11.1%
m	2	11.1%
d	2	11.1%
t	2	11.1%
n	2	11.1%
i	2	11.1%

Uppercase Letter

Value	Count	Frequency (%)
C	2	33.3%
T	2	33.3%
R	2	33.3%

Other Punctuation

Value	Count	Frequency (%)
.	38	100.0%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	301	92.6%
Latin	24	7.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	88	29.2%
.	38	12.6%
3	37	12.3%
5	30	10.0%
6	25	8.3%
4	21	7.0%
7	19	6.3%
1	16	5.3%
8	10	3.3%
	6	2.0%
Other values (4)	11	3.7%

Latin

Value	Count	Frequency (%)
a	4	16.7%
e	2	8.3%
C	2	8.3%
p	2	8.3%
m	2	8.3%
d	2	8.3%
T	2	8.3%
t	2	8.3%
n	2	8.3%
i	2	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	325	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	88	27.1%
.	38	11.7%
3	37	11.4%
5	30	9.2%
6	25	7.7%
4	21	6.5%
7	19	5.8%
1	16	4.9%
8	10	3.1%
	6	1.8%
Other values (15)	35	10.8%

Radiant Temp 1 (C).1
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	63
Distinct (%)	82.9%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

21	3
22	3
19	2
23	2
Radiant Temp 1 (C)	2
Other values (58)	64

Length

Max length	18
Median length	7
Mean length	5.921052632
Min length	2

Characters and Unicode

Total characters	450
Distinct characters	25
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	52 ?
Unique (%)	68.4%

Sample

1st row	24.2222
2nd row	24.1111
3rd row	25
4th row	22.6667
5th row	20.7778

Common Values

Value	Count	Frequency (%)
21	3	3.8%
22	3	3.8%
19	2	2.6%
23	2	2.6%
Radiant Temp 1 (C)	2	2.6%
26.25	2	2.6%
22.0667	2	2.6%
20	2	2.6%
24	2	2.6%
24.1111	2	2.6%
Other values (53)	54	69.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
21	3	3.7%
22	3	3.7%
26.25	2	2.4%
22.7333	2	2.4%
24	2	2.4%
20	2	2.4%
22.0667	2	2.4%
24.1111	2	2.4%
c	2	2.4%
temp	2	2.4%
Other values (56)	60	73.2%

Most occurring characters

Value	Count	Frequency (%)
2	109	24.2%
.	57	12.7%
3	55	12.2%
6	39	8.7%
7	37	8.2%
1	32	7.1%
4	22	4.9%
8	22	4.9%
5	21	4.7%
0	12	2.7%
Other values (15)	44	9.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	359	79.8%
Other Punctuation	57	12.7%
Lowercase Letter	18	4.0%
Space Separator	6	1.3%
Uppercase Letter	6	1.3%
Close Punctuation	2	0.4%
Open Punctuation	2	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	109	30.4%
3	55	15.3%
6	39	10.9%
7	37	10.3%
1	32	8.9%
4	22	6.1%
8	22	6.1%
5	21	5.8%
0	12	3.3%
9	10	2.8%

Lowercase Letter

Value	Count	Frequency (%)
a	4	22.2%
n	2	11.1%
d	2	11.1%
t	2	11.1%
p	2	11.1%
m	2	11.1%
i	2	11.1%
e	2	11.1%

Uppercase Letter

Value	Count	Frequency (%)
R	2	33.3%
C	2	33.3%
T	2	33.3%

Other Punctuation

Value	Count	Frequency (%)
.	57	100.0%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	426	94.7%
Latin	24	5.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	109	25.6%
.	57	13.4%
3	55	12.9%
6	39	9.2%
7	37	8.7%
1	32	7.5%
4	22	5.2%
8	22	5.2%
5	21	4.9%
0	12	2.8%
Other values (4)	20	4.7%

Latin

Value	Count	Frequency (%)
a	4	16.7%
n	2	8.3%
R	2	8.3%
d	2	8.3%
C	2	8.3%
t	2	8.3%
p	2	8.3%
m	2	8.3%
i	2	8.3%
T	2	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	450	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	109	24.2%
.	57	12.7%
3	55	12.2%
6	39	8.7%
7	37	8.2%
1	32	7.1%
4	22	4.9%
8	22	4.9%
5	21	4.7%
0	12	2.7%
Other values (15)	44	9.8%

Wind Speed (mm/s)
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	53
Distinct (%)	69.7%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

136	7
134	6
137	5
135.3333	3
135	3
Other values (48)	52

Length

Max length	17
Median length	8
Mean length	5.421052632
Min length	3

Characters and Unicode

Total characters	412
Distinct characters	24
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	45 ?
Unique (%)	59.2%

Sample

1st row	132.6667
2nd row	130.3333
3rd row	133.6667
4th row	136.2
5th row	137.5

Common Values

Value	Count	Frequency (%)
136	7	9.0%
134	6	7.7%
137	5	6.4%
135.3333	3	3.8%
135	3	3.8%
132	3	3.8%
Wind Speed (mm/s)	2	2.6%
138	2	2.6%
136.4286	1	1.3%
134.8	1	1.3%
Other values (43)	43	55.1%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
136	7	8.8%
134	6	7.5%
137	5	6.2%
135.3333	3	3.8%
135	3	3.8%
132	3	3.8%
wind	2	2.5%
speed	2	2.5%
mm/s	2	2.5%
138	2	2.5%
Other values (45)	45	56.2%

Most occurring characters

Value	Count	Frequency (%)
3	113	27.4%
1	80	19.4%
.	43	10.4%
6	36	8.7%
5	27	6.6%
7	24	5.8%
2	19	4.6%
4	15	3.6%
8	11	2.7%
9	5	1.2%
Other values (14)	39	9.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	335	81.3%
Other Punctuation	45	10.9%
Lowercase Letter	20	4.9%
Space Separator	4	1.0%
Uppercase Letter	4	1.0%
Open Punctuation	2	0.5%
Close Punctuation	2	0.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	113	33.7%
1	80	23.9%
6	36	10.7%
5	27	8.1%
7	24	7.2%
2	19	5.7%
4	15	4.5%
8	11	3.3%
9	5	1.5%
0	5	1.5%

Lowercase Letter

Value	Count	Frequency (%)
d	4	20.0%
e	4	20.0%
m	4	20.0%
n	2	10.0%
p	2	10.0%
s	2	10.0%
i	2	10.0%

Other Punctuation

Value	Count	Frequency (%)
.	43	95.6%
/	2	4.4%

Uppercase Letter

Value	Count	Frequency (%)
S	2	50.0%
W	2	50.0%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	388	94.2%
Latin	24	5.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	113	29.1%
1	80	20.6%
.	43	11.1%
6	36	9.3%
5	27	7.0%
7	24	6.2%
2	19	4.9%
4	15	3.9%
8	11	2.8%
9	5	1.3%
Other values (5)	15	3.9%

Latin

Value	Count	Frequency (%)
d	4	16.7%
e	4	16.7%
m	4	16.7%
n	2	8.3%
S	2	8.3%
p	2	8.3%
s	2	8.3%
i	2	8.3%
W	2	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	412	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	113	27.4%
1	80	19.4%
.	43	10.4%
6	36	8.7%
5	27	6.6%
7	24	5.8%
2	19	4.6%
4	15	3.6%
8	11	2.7%
9	5	1.2%
Other values (14)	39	9.5%

Timestamp
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING
UNIFORM

Distinct	72
Distinct (%)	94.7%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

4/7/2019 15:19	2
4/7/2019 15:17	2
4/2/2019 12:59	2
4/6/2019 16:58	2
4/10/2019 13:35	1
Other values (67)	67

Length

Max length	18
Median length	14
Mean length	14.31578947
Min length	9

Characters and Unicode

Total characters	1088
Distinct characters	22
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	68 ?
Unique (%)	89.5%

Sample

1st row	4/7/2019 15:19
2nd row	4/7/2019 15:19
3rd row	4/7/2019 16:55
4th row	4/7/2019 14:53
5th row	4/7/2019 14:59

Common Values

Value	Count	Frequency (%)
4/7/2019 15:19	2	2.6%
4/7/2019 15:17	2	2.6%
4/2/2019 12:59	2	2.6%
4/6/2019 16:58	2	2.6%
4/10/2019 13:35	1	1.3%
4/10/2019 10:12	1	1.3%
Timestamp	1	1.3%
4/10/2019 8:31	1	1.3%
4/10/2019 8:34	1	1.3%
4/10/2019 8:42	1	1.3%
Other values (62)	62	79.5%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
4/10/2019	30	20.0%
4/7/2019	21	14.0%
4/6/2019	5	3.3%
4/1/2019	4	2.7%
4/5/2019	4	2.7%
3/21/2019	3	2.0%
4/2/2019	3	2.0%
16:58	2	1.3%
13:35	2	1.3%
timestamp	2	1.3%
Other values (69)	74	49.3%

Most occurring characters

Value	Count	Frequency (%)
1	211	19.4%
/	148	13.6%
0	120	11.0%
2	110	10.1%
4	101	9.3%
9	86	7.9%
:	77	7.1%
	74	6.8%
5	40	3.7%
3	35	3.2%
Other values (12)	86	7.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	771	70.9%
Other Punctuation	225	20.7%
Space Separator	74	6.8%
Lowercase Letter	15	1.4%
Uppercase Letter	3	0.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	211	27.4%
0	120	15.6%
2	110	14.3%
4	101	13.1%
9	86	11.2%
5	40	5.2%
3	35	4.5%
7	33	4.3%
6	26	3.4%
8	9	1.2%

Lowercase Letter

Value	Count	Frequency (%)
m	4	26.7%
i	2	13.3%
e	2	13.3%
t	2	13.3%
a	2	13.3%
p	2	13.3%
s	1	6.7%

Other Punctuation

Value	Count	Frequency (%)
/	148	65.8%
:	77	34.2%

Uppercase Letter

Value	Count	Frequency (%)
T	2	66.7%
S	1	33.3%

Space Separator

Value	Count	Frequency (%)
	74	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1070	98.3%
Latin	18	1.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	211	19.7%
/	148	13.8%
0	120	11.2%
2	110	10.3%
4	101	9.4%
9	86	8.0%
:	77	7.2%
	74	6.9%
5	40	3.7%
3	35	3.3%
Other values (3)	68	6.4%

Latin

Value	Count	Frequency (%)
m	4	22.2%
T	2	11.1%
i	2	11.1%
e	2	11.1%
t	2	11.1%
a	2	11.1%
p	2	11.1%
s	1	5.6%
S	1	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1088	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	211	19.4%
/	148	13.6%
0	120	11.0%
2	110	10.1%
4	101	9.3%
9	86	7.9%
:	77	7.1%
	74	6.8%
5	40	3.7%
3	35	3.2%
Other values (12)	86	7.9%

Room name and code
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	20
Distinct (%)	26.3%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

STU211	31
lobby	8
STU203	6
STU301	5
CL302	3
Other values (15)	23

Length

Max length	18
Median length	6
Mean length	6
Min length	5

Characters and Unicode

Total characters	456
Distinct characters	29
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	11.8%

Sample

1st row	STU302
2nd row	STU302
3rd row	STU302
4th row	STU207
5th row	STU207

Common Values

Value	Count	Frequency (%)
STU211	31	39.7%
lobby	8	10.3%
STU203	6	7.7%
STU301	5	6.4%
CL302	3	3.8%
STU201	3	3.8%
STU302	3	3.8%
LAB302	2	2.6%
STU207	2	2.6%
STU304	2	2.6%
Other values (10)	11	14.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
stu211	31	39.2%
lobby	8	10.1%
stu203	6	7.6%
stu301	5	6.3%
stu201	4	5.1%
stu304	3	3.8%
cl302	3	3.8%
stu302	3	3.8%
room	2	2.5%
ad316	2	2.5%
Other values (10)	12	15.2%

Most occurring characters

Value	Count	Frequency (%)
1	77	16.9%
S	55	12.1%
U	55	12.1%
T	55	12.1%
2	52	11.4%
0	31	6.8%
3	27	5.9%
b	16	3.5%
o	13	2.9%
	10	2.2%
Other values (19)	65	14.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	196	43.0%
Uppercase Letter	193	42.3%
Lowercase Letter	57	12.5%
Space Separator	10	2.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	55	28.5%
U	55	28.5%
T	55	28.5%
L	9	4.7%
C	6	3.1%
A	4	2.1%
B	2	1.0%
D	2	1.0%
R	2	1.0%
E	2	1.0%

Lowercase Letter

Value	Count	Frequency (%)
b	16	28.1%
o	13	22.8%
l	8	14.0%
y	8	14.0%
m	3	5.3%
n	2	3.5%
a	2	3.5%
e	2	3.5%
d	2	3.5%
c	1	1.8%

Decimal Number

Value	Count	Frequency (%)
1	77	39.3%
2	52	26.5%
0	31	15.8%
3	27	13.8%
4	4	2.0%
6	3	1.5%
7	2	1.0%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	250	54.8%
Common	206	45.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	55	22.0%
U	55	22.0%
T	55	22.0%
b	16	6.4%
o	13	5.2%
L	9	3.6%
l	8	3.2%
y	8	3.2%
C	6	2.4%
A	4	1.6%
Other values (11)	21	8.4%

Common

Value	Count	Frequency (%)
1	77	37.4%
2	52	25.2%
0	31	15.0%
3	27	13.1%
	10	4.9%
4	4	1.9%
6	3	1.5%
7	2	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	456	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	77	16.9%
S	55	12.1%
U	55	12.1%
T	55	12.1%
2	52	11.4%
0	31	6.8%
3	27	5.9%
b	16	3.5%
o	13	2.9%
	10	2.2%
Other values (19)	65	14.3%

Gender
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	2.6%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Male	74
Gender	2

Length

Max length	7
Median length	4
Mean length	4.078947368
Min length	4

Characters and Unicode

Total characters	310
Distinct characters	9
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Male
3rd row	Male
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Male	74	94.9%
Gender	2	2.6%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
male	74	97.4%
gender	2	2.6%

Most occurring characters

Value	Count	Frequency (%)
e	78	25.2%
M	74	23.9%
a	74	23.9%
l	74	23.9%
G	2	0.6%
n	2	0.6%
d	2	0.6%
r	2	0.6%
	2	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	232	74.8%
Uppercase Letter	76	24.5%
Space Separator	2	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	78	33.6%
a	74	31.9%
l	74	31.9%
n	2	0.9%
d	2	0.9%
r	2	0.9%

Uppercase Letter

Value	Count	Frequency (%)
M	74	97.4%
G	2	2.6%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	308	99.4%
Common	2	0.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	78	25.3%
M	74	24.0%
a	74	24.0%
l	74	24.0%
G	2	0.6%
n	2	0.6%
d	2	0.6%
r	2	0.6%

Common

Value	Count	Frequency (%)
	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	310	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	78	25.2%
M	74	23.9%
a	74	23.9%
l	74	23.9%
G	2	0.6%
n	2	0.6%
d	2	0.6%
r	2	0.6%
	2	0.6%

Occupation
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	5.3%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Occ01	51
Occ02	21
Occ03	2
Occupation	2

Length

Max length	11
Median length	5
Mean length	5.157894737
Min length	5

Characters and Unicode

Total characters	392
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Occ02
2nd row	Occ01
3rd row	Occ01
4th row	Occ01
5th row	Occ01

Common Values

Value	Count	Frequency (%)
Occ01	51	65.4%
Occ02	21	26.9%
Occ03	2	2.6%
Occupation	2	2.6%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
occ01	51	67.1%
occ02	21	27.6%
occ03	2	2.6%
occupation	2	2.6%

Most occurring characters

Value	Count	Frequency (%)
c	152	38.8%
O	76	19.4%
0	74	18.9%
1	51	13.0%
2	21	5.4%
3	2	0.5%
u	2	0.5%
p	2	0.5%
a	2	0.5%
t	2	0.5%
Other values (4)	8	2.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	166	42.3%
Decimal Number	148	37.8%
Uppercase Letter	76	19.4%
Space Separator	2	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
c	152	91.6%
u	2	1.2%
p	2	1.2%
a	2	1.2%
t	2	1.2%
i	2	1.2%
o	2	1.2%
n	2	1.2%

Decimal Number

Value	Count	Frequency (%)
0	74	50.0%
1	51	34.5%
2	21	14.2%
3	2	1.4%

Uppercase Letter

Value	Count	Frequency (%)
O	76	100.0%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	242	61.7%
Common	150	38.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
c	152	62.8%
O	76	31.4%
u	2	0.8%
p	2	0.8%
a	2	0.8%
t	2	0.8%
i	2	0.8%
o	2	0.8%
n	2	0.8%

Common

Value	Count	Frequency (%)
0	74	49.3%
1	51	34.0%
2	21	14.0%
3	2	1.3%
	2	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	392	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
c	152	38.8%
O	76	19.4%
0	74	18.9%
1	51	13.0%
2	21	5.4%
3	2	0.5%
u	2	0.5%
p	2	0.5%
a	2	0.5%
t	2	0.5%
Other values (4)	8	2.0%

Age
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	5.3%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Age01	52
Age02	17
Age03	5
Age	2

Length

Max length	5
Median length	5
Mean length	4.947368421
Min length	3

Characters and Unicode

Total characters	376
Distinct characters	7
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Age02
2nd row	Age01
3rd row	Age01
4th row	Age01
5th row	Age01

Common Values

Value	Count	Frequency (%)
Age01	52	66.7%
Age02	17	21.8%
Age03	5	6.4%
Age	2	2.6%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
age01	52	68.4%
age02	17	22.4%
age03	5	6.6%
age	2	2.6%

Most occurring characters

Value	Count	Frequency (%)
A	76	20.2%
g	76	20.2%
e	76	20.2%
0	74	19.7%
1	52	13.8%
2	17	4.5%
3	5	1.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	152	40.4%
Decimal Number	148	39.4%
Uppercase Letter	76	20.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	74	50.0%
1	52	35.1%
2	17	11.5%
3	5	3.4%

Lowercase Letter

Value	Count	Frequency (%)
g	76	50.0%
e	76	50.0%

Uppercase Letter

Value	Count	Frequency (%)
A	76	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	228	60.6%
Common	148	39.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	74	50.0%
1	52	35.1%
2	17	11.5%
3	5	3.4%

Latin

Value	Count	Frequency (%)
A	76	33.3%
g	76	33.3%
e	76	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	376	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	76	20.2%
g	76	20.2%
e	76	20.2%
0	74	19.7%
1	52	13.8%
2	17	4.5%
3	5	1.3%

Height
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	9.2%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Hight04	33
Hight03	27
Hight05	11
Height	2
Hight06	1
Other values (2)	2

Length

Max length	7
Median length	7
Mean length	6.973684211
Min length	6

Characters and Unicode

Total characters	530
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	3.9%

Sample

1st row	Hight04
2nd row	Hight05
3rd row	Hight03
4th row	Hight04
5th row	Hight03

Common Values

Value	Count	Frequency (%)
Hight04	33	42.3%
Hight03	27	34.6%
Hight05	11	14.1%
Height	2	2.6%
Hight06	1	1.3%
Hight01	1	1.3%
Hight02	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
hight04	33	43.4%
hight03	27	35.5%
hight05	11	14.5%
height	2	2.6%
hight06	1	1.3%
hight01	1	1.3%
hight02	1	1.3%

Most occurring characters

Value	Count	Frequency (%)
H	76	14.3%
i	76	14.3%
g	76	14.3%
h	76	14.3%
t	76	14.3%
0	74	14.0%
4	33	6.2%
3	27	5.1%
5	11	2.1%
e	2	0.4%
Other values (3)	3	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	306	57.7%
Decimal Number	148	27.9%
Uppercase Letter	76	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	74	50.0%
4	33	22.3%
3	27	18.2%
5	11	7.4%
6	1	0.7%
1	1	0.7%
2	1	0.7%

Lowercase Letter

Value	Count	Frequency (%)
i	76	24.8%
g	76	24.8%
h	76	24.8%
t	76	24.8%
e	2	0.7%

Uppercase Letter

Value	Count	Frequency (%)
H	76	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	382	72.1%
Common	148	27.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	74	50.0%
4	33	22.3%
3	27	18.2%
5	11	7.4%
6	1	0.7%
1	1	0.7%
2	1	0.7%

Latin

Value	Count	Frequency (%)
H	76	19.9%
i	76	19.9%
g	76	19.9%
h	76	19.9%
t	76	19.9%
e	2	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	530	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
H	76	14.3%
i	76	14.3%
g	76	14.3%
h	76	14.3%
t	76	14.3%
0	74	14.0%
4	33	6.2%
3	27	5.1%
5	11	2.1%
e	2	0.4%
Other values (3)	3	0.6%

Weight
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	10.5%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Wieg02	20
Wieg03	15
Wieg01	14
Wieg05	13
Wieg04	9
Other values (3)	5

Length

Max length	9
Median length	6
Mean length	6.039473684
Min length	6

Characters and Unicode

Total characters	459
Distinct characters	15
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.6%

Sample

1st row	Wieg03
2nd row	Wieg04
3rd row	Wieg02
4th row	Wieg03
5th row	Wieg02

Common Values

Value	Count	Frequency (%)
Wieg02	20	25.6%
Wieg03	15	19.2%
Wieg01	14	17.9%
Wieg05	13	16.7%
Wieg04	9	11.5%
Wieg06	3	3.8%
Wieght.	1	1.3%
Wieght	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
wieg02	20	26.3%
wieg03	15	19.7%
wieg01	14	18.4%
wieg05	13	17.1%
wieg04	9	11.8%
wieg06	3	3.9%
wieght	2	2.6%

Most occurring characters

Value	Count	Frequency (%)
W	76	16.6%
i	76	16.6%
e	76	16.6%
g	76	16.6%
0	74	16.1%
2	20	4.4%
3	15	3.3%
1	14	3.1%
5	13	2.8%
4	9	2.0%
Other values (5)	10	2.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	232	50.5%
Decimal Number	148	32.2%
Uppercase Letter	76	16.6%
Space Separator	2	0.4%
Other Punctuation	1	0.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	74	50.0%
2	20	13.5%
3	15	10.1%
1	14	9.5%
5	13	8.8%
4	9	6.1%
6	3	2.0%

Lowercase Letter

Value	Count	Frequency (%)
i	76	32.8%
e	76	32.8%
g	76	32.8%
h	2	0.9%
t	2	0.9%

Uppercase Letter

Value	Count	Frequency (%)
W	76	100.0%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	308	67.1%
Common	151	32.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	74	49.0%
2	20	13.2%
3	15	9.9%
1	14	9.3%
5	13	8.6%
4	9	6.0%
6	3	2.0%
	2	1.3%
.	1	0.7%

Latin

Value	Count	Frequency (%)
W	76	24.7%
i	76	24.7%
e	76	24.7%
g	76	24.7%
h	2	0.6%
t	2	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	459	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
W	76	16.6%
i	76	16.6%
e	76	16.6%
g	76	16.6%
0	74	16.1%
2	20	4.4%
3	15	3.3%
1	14	3.1%
5	13	2.8%
4	9	2.0%
Other values (5)	10	2.2%

Your Activity
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	10.5%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Walking	24
Working	24
Running	9
Stall	9
ClimbingStairs	4
Other values (3)	6

Length

Max length	14
Median length	7
Mean length	7.302631579
Min length	5

Characters and Unicode

Total characters	555
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.6%

Sample

1st row	Walking
2nd row	Walking
3rd row	Walking
4th row	Walking
5th row	Running

Common Values

Value	Count	Frequency (%)
Walking	24	30.8%
Working	24	30.8%
Running	9	11.5%
Stall	9	11.5%
ClimbingStairs	4	5.1%
Sleeping	4	5.1%
Your Activity	1	1.3%
Activity	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
walking	24	31.2%
working	24	31.2%
running	9	11.7%
stall	9	11.7%
climbingstairs	4	5.2%
sleeping	4	5.2%
activity	2	2.6%
your	1	1.3%

Most occurring characters

Value	Count	Frequency (%)
n	83	15.0%
i	77	13.9%
g	65	11.7%
l	50	9.0%
W	48	8.6%
k	48	8.6%
a	37	6.7%
r	29	5.2%
o	25	4.5%
S	17	3.1%
Other values (15)	76	13.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	471	84.9%
Uppercase Letter	81	14.6%
Space Separator	3	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	83	17.6%
i	77	16.3%
g	65	13.8%
l	50	10.6%
k	48	10.2%
a	37	7.9%
r	29	6.2%
o	25	5.3%
t	17	3.6%
u	10	2.1%
Other values (8)	30	6.4%

Uppercase Letter

Value	Count	Frequency (%)
W	48	59.3%
S	17	21.0%
R	9	11.1%
C	4	4.9%
A	2	2.5%
Y	1	1.2%

Space Separator

Value	Count	Frequency (%)
	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	552	99.5%
Common	3	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	83	15.0%
i	77	13.9%
g	65	11.8%
l	50	9.1%
W	48	8.7%
k	48	8.7%
a	37	6.7%
r	29	5.3%
o	25	4.5%
S	17	3.1%
Other values (14)	73	13.2%

Common

Value	Count	Frequency (%)
	3	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	555	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	83	15.0%
i	77	13.9%
g	65	11.7%
l	50	9.0%
W	48	8.6%
k	48	8.6%
a	37	6.7%
r	29	5.2%
o	25	4.5%
S	17	3.1%
Other values (15)	76	13.7%

Clothing
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	16
Distinct (%)	21.1%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Dress_364	26
Dress_192	11
Dress_220	8
Dress_213	8
Dress_150	5
Other values (11)	18

Length

Max length	13
Median length	9
Mean length	9
Min length	8

Characters and Unicode

Total characters	684
Distinct characters	27
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	9.2%

Sample

1st row	Dress_364
2nd row	Dress_213
3rd row	Dress_364
4th row	Dress_192
5th row	Dress_99

Common Values

Value	Count	Frequency (%)
Dress_364	26	33.3%
Dress_192	11	14.1%
Dress_220	8	10.3%
Dress_213	8	10.3%
Dress_150	5	6.4%
Dress_365	5	6.4%
Dress_99	2	2.6%
Dress_194	2	2.6%
Dress_207	2	2.6%
Dress_94	1	1.3%
Other values (6)	6	7.7%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
dress_364	26	33.3%
dress_192	11	14.1%
dress_220	8	10.3%
dress_213	8	10.3%
dress_150	5	6.4%
dress_365	5	6.4%
type	2	2.6%
dress_207	2	2.6%
dress_194	2	2.6%
dress_99	2	2.6%
Other values (7)	7	9.0%

Most occurring characters

Value	Count	Frequency (%)
s	148	21.6%
e	76	11.1%
D	74	10.8%
r	74	10.8%
_	74	10.8%
2	41	6.0%
3	39	5.7%
6	32	4.7%
4	29	4.2%
1	27	3.9%
Other values (17)	70	10.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	313	45.8%
Decimal Number	217	31.7%
Uppercase Letter	78	11.4%
Connector Punctuation	74	10.8%
Space Separator	2	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	148	47.3%
e	76	24.3%
r	74	23.6%
l	2	0.6%
o	2	0.6%
t	2	0.6%
h	2	0.6%
y	2	0.6%
p	2	0.6%
i	1	0.3%
Other values (2)	2	0.6%

Decimal Number

Value	Count	Frequency (%)
2	41	18.9%
3	39	18.0%
6	32	14.7%
4	29	13.4%
1	27	12.4%
9	18	8.3%
0	16	7.4%
5	11	5.1%
7	3	1.4%
8	1	0.5%

Uppercase Letter

Value	Count	Frequency (%)
D	74	94.9%
C	2	2.6%
T	2	2.6%

Connector Punctuation

Value	Count	Frequency (%)
_	74	100.0%

Space Separator

Value	Count	Frequency (%)
	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	391	57.2%
Common	293	42.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	148	37.9%
e	76	19.4%
D	74	18.9%
r	74	18.9%
C	2	0.5%
l	2	0.5%
o	2	0.5%
t	2	0.5%
h	2	0.5%
T	2	0.5%
Other values (5)	7	1.8%

Common

Value	Count	Frequency (%)
_	74	25.3%
2	41	14.0%
3	39	13.3%
6	32	10.9%
4	29	9.9%
1	27	9.2%
9	18	6.1%
0	16	5.5%
5	11	3.8%
7	3	1.0%
Other values (2)	3	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	684	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	148	21.6%
e	76	11.1%
D	74	10.8%
r	74	10.8%
_	74	10.8%
2	41	6.0%
3	39	5.7%
6	32	4.7%
4	29	4.2%
1	27	3.9%
Other values (17)	70	10.2%

How long do you spend in the building during the day
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	13.2%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Period_08	22
Period_07	12
Period_03	11
Period_04	9
Period_05	7
Other values (5)	15

Length

Max length	53
Median length	9
Mean length	9.697368421
Min length	9

Characters and Unicode

Total characters	737
Distinct characters	35
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.6%

Sample

1st row	Period_08
2nd row	Period_08
3rd row	Period_10
4th row	Period_08
5th row	Period_10

Common Values

Value	Count	Frequency (%)
Period_08	22	28.2%
Period_07	12	15.4%
Period_03	11	14.1%
Period_04	9	11.5%
Period_05	7	9.0%
Period_09	5	6.4%
Period_10	4	5.1%
Period_02	4	5.1%
How long do you spend in the building during the day?	1	1.3%
Time in the office	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
period_08	22	24.7%
period_07	12	13.5%
period_03	11	12.4%
period_04	9	10.1%
period_05	7	7.9%
period_09	5	5.6%
period_10	4	4.5%
period_02	4	4.5%
the	3	3.4%
in	2	2.2%
Other values (10)	10	11.2%

Most occurring characters

Value	Count	Frequency (%)
i	81	11.0%
e	80	10.9%
o	79	10.7%
d	79	10.7%
r	75	10.2%
P	74	10.0%
_	74	10.0%
0	74	10.0%
8	22	3.0%
	13	1.8%
Other values (25)	86	11.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	425	57.7%
Decimal Number	148	20.1%
Uppercase Letter	76	10.3%
Connector Punctuation	74	10.0%
Space Separator	13	1.8%
Other Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	81	19.1%
e	80	18.8%
o	79	18.6%
d	79	18.6%
r	75	17.6%
n	6	1.4%
g	3	0.7%
u	3	0.7%
t	3	0.7%
h	3	0.7%
Other values (10)	13	3.1%

Decimal Number

Value	Count	Frequency (%)
0	74	50.0%
8	22	14.9%
7	12	8.1%
3	11	7.4%
4	9	6.1%
5	7	4.7%
9	5	3.4%
1	4	2.7%
2	4	2.7%

Uppercase Letter

Value	Count	Frequency (%)
P	74	97.4%
T	1	1.3%
H	1	1.3%

Connector Punctuation

Value	Count	Frequency (%)
_	74	100.0%

Space Separator

Value	Count	Frequency (%)
	13	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	501	68.0%
Common	236	32.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	81	16.2%
e	80	16.0%
o	79	15.8%
d	79	15.8%
r	75	15.0%
P	74	14.8%
n	6	1.2%
g	3	0.6%
u	3	0.6%
t	3	0.6%
Other values (13)	18	3.6%

Common

Value	Count	Frequency (%)
_	74	31.4%
0	74	31.4%
8	22	9.3%
	13	5.5%
7	12	5.1%
3	11	4.7%
4	9	3.8%
5	7	3.0%
9	5	2.1%
1	4	1.7%
Other values (2)	5	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	737	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	81	11.0%
e	80	10.9%
o	79	10.7%
d	79	10.7%
r	75	10.2%
P	74	10.0%
_	74	10.0%
0	74	10.0%
8	22	3.0%
	13	1.8%
Other values (25)	86	11.7%

How long have you (worked-studied) in this building
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	12
Distinct (%)	15.8%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Stu-Period_02	17
Stu-Period_03	13
4	13
2	8
3	8
Other values (7)	17

Length

Max length	44
Median length	13
Mean length	8.894736842
Min length	1

Characters and Unicode

Total characters	676
Distinct characters	40
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	3.9%

Sample

1st row	Stu-Period_01
2nd row	Stu-Period_06
3rd row	Stu-Period_03
4th row	Stu-Period_04
5th row	Stu-Period_03

Common Values

Value	Count	Frequency (%)
Stu-Period_02	17	21.8%
Stu-Period_03	13	16.7%
4	13	16.7%
2	8	10.3%
3	8	10.3%
Stu-Period_01	5	6.4%
Stu-Period_04	5	6.4%
Stu-Period_06	2	2.6%
1	2	2.6%
How long have you (worked) in this building?	1	1.3%
Other values (2)	2	2.6%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
stu-period_02	17	19.5%
4	13	14.9%
stu-period_03	13	14.9%
2	8	9.2%
3	8	9.2%
stu-period_01	5	5.7%
stu-period_04	5	5.7%
stu-period_06	2	2.3%
1	2	2.3%
building	1	1.1%
Other values (13)	13	14.9%

Most occurring characters

Value	Count	Frequency (%)
e	52	7.7%
r	50	7.4%
t	49	7.2%
o	49	7.2%
u	48	7.1%
i	47	7.0%
d	46	6.8%
S	43	6.4%
0	43	6.4%
_	43	6.4%
Other values (30)	206	30.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	370	54.7%
Decimal Number	117	17.3%
Uppercase Letter	88	13.0%
Connector Punctuation	43	6.4%
Dash Punctuation	43	6.4%
Space Separator	11	1.6%
Other Punctuation	2	0.3%
Close Punctuation	1	0.1%
Open Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	52	14.1%
r	50	13.5%
t	49	13.2%
o	49	13.2%
u	48	13.0%
i	47	12.7%
d	46	12.4%
n	5	1.4%
a	3	0.8%
h	3	0.8%
Other values (12)	18	4.9%

Decimal Number

Value	Count	Frequency (%)
0	43	36.8%
2	25	21.4%
3	21	17.9%
4	18	15.4%
1	7	6.0%
6	2	1.7%
5	1	0.9%

Uppercase Letter

Value	Count	Frequency (%)
S	43	48.9%
P	43	48.9%
C	1	1.1%
H	1	1.1%

Other Punctuation

Value	Count	Frequency (%)
?	1	50.0%
.	1	50.0%

Connector Punctuation

Value	Count	Frequency (%)
_	43	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	43	100.0%

Space Separator

Value	Count	Frequency (%)
	11	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	458	67.8%
Common	218	32.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	52	11.4%
r	50	10.9%
t	49	10.7%
o	49	10.7%
u	48	10.5%
i	47	10.3%
d	46	10.0%
S	43	9.4%
P	43	9.4%
n	5	1.1%
Other values (16)	26	5.7%

Common

Value	Count	Frequency (%)
0	43	19.7%
_	43	19.7%
-	43	19.7%
2	25	11.5%
3	21	9.6%
4	18	8.3%
	11	5.0%
1	7	3.2%
6	2	0.9%
?	1	0.5%
Other values (4)	4	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	676	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	52	7.7%
r	50	7.4%
t	49	7.2%
o	49	7.2%
u	48	7.1%
i	47	7.0%
d	46	6.8%
S	43	6.4%
0	43	6.4%
_	43	6.4%
Other values (30)	206	30.5%

In average day how much time do you spend in the [Office ]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	13.2%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Period_01	21
3	13
Period_07	10
4	10
2	8
Other values (5)	14

Length

Max length	58
Median length	9
Mean length	6.736842105
Min length	1

Characters and Unicode

Total characters	512
Distinct characters	36
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	3.9%

Sample

1st row	Period_12
2nd row	Period_12
3rd row	Period_01
4th row	Period_01
5th row	Period_11

Common Values

Value	Count	Frequency (%)
Period_01	21	26.9%
3	13	16.7%
Period_07	10	12.8%
4	10	12.8%
2	8	10.3%
Period_11	6	7.7%
Period_12	5	6.4%
In average day how much time do you spend in the [Office]?	1	1.3%
Period_08	1	1.3%
The Current temperature in the room	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
period_01	21	22.8%
3	13	14.1%
period_07	10	10.9%
4	10	10.9%
2	8	8.7%
period_11	6	6.5%
period_12	5	5.4%
in	3	3.3%
the	3	3.3%
spend	1	1.1%
Other values (12)	12	13.0%

Most occurring characters

Value	Count	Frequency (%)
e	55	10.7%
r	49	9.6%
o	48	9.4%
i	47	9.2%
d	46	9.0%
P	43	8.4%
_	43	8.4%
1	38	7.4%
0	32	6.2%
	17	3.3%
Other values (26)	94	18.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	285	55.7%
Decimal Number	117	22.9%
Uppercase Letter	47	9.2%
Connector Punctuation	43	8.4%
Space Separator	17	3.3%
Other Punctuation	1	0.2%
Close Punctuation	1	0.2%
Open Punctuation	1	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	55	19.3%
r	49	17.2%
o	48	16.8%
i	47	16.5%
d	46	16.1%
t	6	2.1%
h	5	1.8%
n	5	1.8%
a	4	1.4%
m	4	1.4%
Other values (9)	16	5.6%

Decimal Number

Value	Count	Frequency (%)
1	38	32.5%
0	32	27.4%
3	13	11.1%
2	13	11.1%
7	10	8.5%
4	10	8.5%
8	1	0.9%

Uppercase Letter

Value	Count	Frequency (%)
P	43	91.5%
O	1	2.1%
T	1	2.1%
I	1	2.1%
C	1	2.1%

Connector Punctuation

Value	Count	Frequency (%)
_	43	100.0%

Space Separator

Value	Count	Frequency (%)
	17	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	332	64.8%
Common	180	35.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	55	16.6%
r	49	14.8%
o	48	14.5%
i	47	14.2%
d	46	13.9%
P	43	13.0%
t	6	1.8%
h	5	1.5%
n	5	1.5%
a	4	1.2%
Other values (14)	24	7.2%

Common

Value	Count	Frequency (%)
_	43	23.9%
1	38	21.1%
0	32	17.8%
	17	9.4%
3	13	7.2%
2	13	7.2%
7	10	5.6%
4	10	5.6%
8	1	0.6%
?	1	0.6%
Other values (2)	2	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	512	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	55	10.7%
r	49	9.6%
o	48	9.4%
i	47	9.2%
d	46	9.0%
P	43	8.4%
_	43	8.4%
1	38	7.4%
0	32	6.2%
	17	3.3%
Other values (26)	94	18.4%

In average day how much time do you spend in the [Lecture room ]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	13.2%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

No	26
Period_12	23
Period_11	8
Period_07	7
Period_01	3
Other values (5)	9

Length

Max length	64
Median length	9
Mean length	7.289473684
Min length	2

Characters and Unicode

Total characters	554
Distinct characters	37
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.6%

Sample

1st row	Period_12
2nd row	Period_01
3rd row	Period_08
4th row	Period_12
5th row	Period_12

Common Values

Value	Count	Frequency (%)
No	26	33.3%
Period_12	23	29.5%
Period_11	8	10.3%
Period_07	7	9.0%
Period_01	3	3.8%
Yes	3	3.8%
Period_08	2	2.6%
Maybe	2	2.6%
In average day how much time do you spend in the [Lecture room]?	1	1.3%
Distraction from outside noise?	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	26	28.6%
period_12	23	25.3%
period_11	8	8.8%
period_07	7	7.7%
period_01	3	3.3%
yes	3	3.3%
period_08	2	2.2%
maybe	2	2.2%
in	2	2.2%
spend	1	1.1%
Other values (14)	14	15.4%

Most occurring characters

Value	Count	Frequency (%)
o	78	14.1%
e	57	10.3%
i	49	8.8%
r	48	8.7%
d	47	8.5%
P	43	7.8%
_	43	7.8%
1	42	7.6%
N	26	4.7%
2	23	4.2%
Other values (27)	98	17.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	328	59.2%
Decimal Number	86	15.5%
Uppercase Letter	77	13.9%
Connector Punctuation	43	7.8%
Space Separator	16	2.9%
Other Punctuation	2	0.4%
Open Punctuation	1	0.2%
Close Punctuation	1	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	78	23.8%
e	57	17.4%
i	49	14.9%
r	48	14.6%
d	47	14.3%
s	7	2.1%
t	6	1.8%
a	6	1.8%
n	5	1.5%
u	4	1.2%
Other values (10)	21	6.4%

Uppercase Letter

Value	Count	Frequency (%)
P	43	55.8%
N	26	33.8%
Y	3	3.9%
M	2	2.6%
I	1	1.3%
L	1	1.3%
D	1	1.3%

Decimal Number

Value	Count	Frequency (%)
1	42	48.8%
2	23	26.7%
0	12	14.0%
7	7	8.1%
8	2	2.3%

Connector Punctuation

Value	Count	Frequency (%)
_	43	100.0%

Space Separator

Value	Count	Frequency (%)
	16	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	405	73.1%
Common	149	26.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	78	19.3%
e	57	14.1%
i	49	12.1%
r	48	11.9%
d	47	11.6%
P	43	10.6%
N	26	6.4%
s	7	1.7%
t	6	1.5%
a	6	1.5%
Other values (17)	38	9.4%

Common

Value	Count	Frequency (%)
_	43	28.9%
1	42	28.2%
2	23	15.4%
	16	10.7%
0	12	8.1%
7	7	4.7%
?	2	1.3%
8	2	1.3%
[	1	0.7%
]	1	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	554	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	78	14.1%
e	57	10.3%
i	49	8.8%
r	48	8.7%
d	47	8.5%
P	43	7.8%
_	43	7.8%
1	42	7.6%
N	26	4.7%
2	23	4.2%
Other values (27)	98	17.7%

In average day how much time do you spend in the [laboratory ]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	11.8%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Period_01	26
No	24
Period_11	11
Period_12	4
Yes	4
Other values (4)	7

Length

Max length	62
Median length	9
Mean length	7.434210526
Min length	2

Characters and Unicode

Total characters	565
Distinct characters	37
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.6%

Sample

1st row	Period_01
2nd row	Period_01
3rd row	Period_11
4th row	Period_01
5th row	Period_11

Common Values

Value	Count	Frequency (%)
Period_01	26	33.3%
No	24	30.8%
Period_11	11	14.1%
Period_12	4	5.1%
Yes	4	5.1%
Maybe	3	3.8%
Period_07	2	2.6%
In average day how much time do you spend in the [laboratory]?	1	1.3%
Distraction from background machine noise	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
period_01	26	28.6%
no	24	26.4%
period_11	11	12.1%
period_12	4	4.4%
yes	4	4.4%
maybe	3	3.3%
period_07	2	2.2%
in	2	2.2%
spend	1	1.1%
machine	1	1.1%
Other values (13)	13	14.3%

Most occurring characters

Value	Count	Frequency (%)
o	76	13.5%
e	57	10.1%
1	52	9.2%
r	49	8.7%
i	49	8.7%
d	47	8.3%
P	43	7.6%
_	43	7.6%
0	28	5.0%
N	24	4.2%
Other values (27)	97	17.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	342	60.5%
Decimal Number	86	15.2%
Uppercase Letter	76	13.5%
Connector Punctuation	43	7.6%
Space Separator	15	2.7%
Other Punctuation	1	0.2%
Close Punctuation	1	0.2%
Open Punctuation	1	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	76	22.2%
e	57	16.7%
r	49	14.3%
i	49	14.3%
d	47	13.7%
a	11	3.2%
n	7	2.0%
s	7	2.0%
y	6	1.8%
b	5	1.5%
Other values (12)	28	8.2%

Uppercase Letter

Value	Count	Frequency (%)
P	43	56.6%
N	24	31.6%
Y	4	5.3%
M	3	3.9%
D	1	1.3%
I	1	1.3%

Decimal Number

Value	Count	Frequency (%)
1	52	60.5%
0	28	32.6%
2	4	4.7%
7	2	2.3%

Connector Punctuation

Value	Count	Frequency (%)
_	43	100.0%

Space Separator

Value	Count	Frequency (%)
	15	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	418	74.0%
Common	147	26.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	76	18.2%
e	57	13.6%
r	49	11.7%
i	49	11.7%
d	47	11.2%
P	43	10.3%
N	24	5.7%
a	11	2.6%
n	7	1.7%
s	7	1.7%
Other values (18)	48	11.5%

Common

Value	Count	Frequency (%)
1	52	35.4%
_	43	29.3%
0	28	19.0%
	15	10.2%
2	4	2.7%
7	2	1.4%
?	1	0.7%
]	1	0.7%
[	1	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	565	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	76	13.5%
e	57	10.1%
1	52	9.2%
r	49	8.7%
i	49	8.7%
d	47	8.3%
P	43	7.6%
_	43	7.6%
0	28	5.0%
N	24	4.2%
Other values (27)	97	17.2%

In average day how much time do you spend in the [Studio Design]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	11
Distinct (%)	14.5%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Yes	25
Period_12	15
Period_07	12
Period_11	5
No	5
Other values (6)	14

Length

Max length	65
Median length	9
Mean length	7.513157895
Min length	2

Characters and Unicode

Total characters	571
Distinct characters	39
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	3.9%

Sample

1st row	Period_12
2nd row	Period_07
3rd row	Period_13
4th row	Period_07
5th row	Period_12

Common Values

Value	Count	Frequency (%)
Yes	25	32.1%
Period_12	15	19.2%
Period_07	12	15.4%
Period_11	5	6.4%
No	5	6.4%
Period_13	4	5.1%
Period_01	4	5.1%
Period_08	3	3.8%
In average day how much time do you spend in the [Studio Design]?	1	1.3%
Distraction from people noise	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
yes	25	27.5%
period_12	15	16.5%
period_07	12	13.2%
period_11	5	5.5%
no	5	5.5%
period_13	4	4.4%
period_01	4	4.4%
period_08	3	3.3%
in	2	2.2%
the	1	1.1%
Other values (15)	15	16.5%

Most occurring characters

Value	Count	Frequency (%)
e	78	13.7%
o	56	9.8%
i	50	8.8%
d	47	8.2%
r	46	8.1%
P	43	7.5%
_	43	7.5%
1	33	5.8%
s	29	5.1%
Y	25	4.4%
Other values (29)	121	21.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	346	60.6%
Decimal Number	86	15.1%
Uppercase Letter	78	13.7%
Connector Punctuation	43	7.5%
Space Separator	15	2.6%
Close Punctuation	1	0.2%
Other Punctuation	1	0.2%
Open Punctuation	1	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	78	22.5%
o	56	16.2%
i	50	14.5%
d	47	13.6%
r	46	13.3%
s	29	8.4%
n	6	1.7%
t	5	1.4%
a	5	1.4%
y	3	0.9%
Other values (11)	21	6.1%

Uppercase Letter

Value	Count	Frequency (%)
P	43	55.1%
Y	25	32.1%
N	5	6.4%
D	2	2.6%
M	1	1.3%
I	1	1.3%
S	1	1.3%

Decimal Number

Value	Count	Frequency (%)
1	33	38.4%
0	19	22.1%
2	15	17.4%
7	12	14.0%
3	4	4.7%
8	3	3.5%

Connector Punctuation

Value	Count	Frequency (%)
_	43	100.0%

Space Separator

Value	Count	Frequency (%)
	15	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	1	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	424	74.3%
Common	147	25.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	78	18.4%
o	56	13.2%
i	50	11.8%
d	47	11.1%
r	46	10.8%
P	43	10.1%
s	29	6.8%
Y	25	5.9%
n	6	1.4%
t	5	1.2%
Other values (18)	39	9.2%

Common

Value	Count	Frequency (%)
_	43	29.3%
1	33	22.4%
0	19	12.9%
2	15	10.2%
	15	10.2%
7	12	8.2%
3	4	2.7%
8	3	2.0%
]	1	0.7%
?	1	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	571	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	78	13.7%
o	56	9.8%
i	50	8.8%
d	47	8.2%
r	46	8.1%
P	43	7.5%
_	43	7.5%
1	33	5.8%
s	29	5.1%
Y	25	4.4%
Other values (29)	121	21.2%

In average day how much time do you spend in the [Cafeteria ]
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	13.2%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Period_01	25
Period_11	17
3	12
4	8
2	6
Other values (5)	8

Length

Max length	61
Median length	9
Mean length	6.736842105
Min length	1

Characters and Unicode

Total characters	512
Distinct characters	36
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	3.9%

Sample

1st row	Period_11
2nd row	Period_01
3rd row	Period_11
4th row	Period_11
5th row	Period_11

Common Values

Value	Count	Frequency (%)
Period_01	25	32.1%
Period_11	17	21.8%
3	12	15.4%
4	8	10.3%
2	6	7.7%
1	3	3.8%
5	2	2.6%
In average day how much time do you spend in the [Cafeteria]?	1	1.3%
Period_12	1	1.3%
Comfort Under current noise Level	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
period_01	25	27.5%
period_11	17	18.7%
3	12	13.2%
4	8	8.8%
2	6	6.6%
1	3	3.3%
5	2	2.2%
in	2	2.2%
the	1	1.1%
noise	1	1.1%
Other values (14)	14	15.4%

Most occurring characters

Value	Count	Frequency (%)
1	63	12.3%
e	55	10.7%
r	49	9.6%
o	49	9.6%
i	47	9.2%
d	47	9.2%
P	43	8.4%
_	43	8.4%
0	25	4.9%
	15	2.9%
Other values (26)	76	14.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	286	55.9%
Decimal Number	117	22.9%
Uppercase Letter	48	9.4%
Connector Punctuation	43	8.4%
Space Separator	15	2.9%
Other Punctuation	1	0.2%
Close Punctuation	1	0.2%
Open Punctuation	1	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	55	19.2%
r	49	17.1%
o	49	17.1%
i	47	16.4%
d	47	16.4%
n	6	2.1%
t	5	1.7%
a	5	1.7%
u	3	1.0%
m	3	1.0%
Other values (10)	17	5.9%

Decimal Number

Value	Count	Frequency (%)
1	63	53.8%
0	25	21.4%
3	12	10.3%
4	8	6.8%
2	7	6.0%
5	2	1.7%

Uppercase Letter

Value	Count	Frequency (%)
P	43	89.6%
C	2	4.2%
U	1	2.1%
L	1	2.1%
I	1	2.1%

Connector Punctuation

Value	Count	Frequency (%)
_	43	100.0%

Space Separator

Value	Count	Frequency (%)
	15	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	334	65.2%
Common	178	34.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	55	16.5%
r	49	14.7%
o	49	14.7%
i	47	14.1%
d	47	14.1%
P	43	12.9%
n	6	1.8%
t	5	1.5%
a	5	1.5%
u	3	0.9%
Other values (15)	25	7.5%

Common

Value	Count	Frequency (%)
1	63	35.4%
_	43	24.2%
0	25	14.0%
	15	8.4%
3	12	6.7%
4	8	4.5%
2	7	3.9%
5	2	1.1%
?	1	0.6%
]	1	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	512	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	63	12.3%
e	55	10.7%
r	49	9.6%
o	49	9.6%
i	47	9.2%
d	47	9.2%
P	43	8.4%
_	43	8.4%
0	25	4.9%
	15	2.9%
Other values (26)	76	14.8%

In average day how much time do you spend working at computer "average hours per day"
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	13
Distinct (%)	17.1%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Period_07	17
2	15
Period_12	11
3	10
Period_08	8
Other values (8)	15

Length

Max length	64
Median length	9
Mean length	6.736842105
Min length	1

Characters and Unicode

Total characters	512
Distinct characters	34
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	5.3%

Sample

1st row	Period_12
2nd row	Period_12
3rd row	Period_08
4th row	Period_07
5th row	Period_01

Common Values

Value	Count	Frequency (%)
Period_07	17	21.8%
2	15	19.2%
Period_12	11	14.1%
3	10	12.8%
Period_08	8	10.3%
Period_13	3	3.8%
Period_11	3	3.8%
4	3	3.8%
1	2	2.6%
Period_01	1	1.3%
Other values (3)	3	3.8%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
period_07	17	18.7%
2	15	16.5%
period_12	11	12.1%
3	10	11.0%
period_08	8	8.8%
period_13	3	3.3%
period_11	3	3.3%
4	3	3.3%
at	2	2.2%
1	2	2.2%
Other values (17)	17	18.7%

Most occurring characters

Value	Count	Frequency (%)
o	51	10.0%
e	51	10.0%
r	48	9.4%
i	47	9.2%
d	46	9.0%
P	43	8.4%
_	43	8.4%
0	26	5.1%
2	26	5.1%
1	23	4.5%
Other values (24)	108	21.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	289	56.4%
Decimal Number	117	22.9%
Uppercase Letter	45	8.8%
Connector Punctuation	43	8.4%
Space Separator	17	3.3%
Other Punctuation	1	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	51	17.6%
e	51	17.6%
r	48	16.6%
i	47	16.3%
d	46	15.9%
t	5	1.7%
s	5	1.7%
a	5	1.7%
n	5	1.7%
m	4	1.4%
Other values (10)	22	7.6%

Decimal Number

Value	Count	Frequency (%)
0	26	22.2%
2	26	22.2%
1	23	19.7%
7	17	14.5%
3	13	11.1%
8	8	6.8%
4	3	2.6%
5	1	0.9%

Uppercase Letter

Value	Count	Frequency (%)
P	43	95.6%
I	1	2.2%
D	1	2.2%

Connector Punctuation

Value	Count	Frequency (%)
_	43	100.0%

Space Separator

Value	Count	Frequency (%)
	17	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	334	65.2%
Common	178	34.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	51	15.3%
e	51	15.3%
r	48	14.4%
i	47	14.1%
d	46	13.8%
P	43	12.9%
t	5	1.5%
s	5	1.5%
a	5	1.5%
n	5	1.5%
Other values (13)	28	8.4%

Common

Value	Count	Frequency (%)
_	43	24.2%
0	26	14.6%
2	26	14.6%
1	23	12.9%
	17	9.6%
7	17	9.6%
3	13	7.3%
8	8	4.5%
4	3	1.7%
?	1	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	512	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	51	10.0%
e	51	10.0%
r	48	9.4%
i	47	9.2%
d	46	9.0%
P	43	8.4%
_	43	8.4%
0	26	5.1%
2	26	5.1%
1	23	4.5%
Other values (24)	108	21.1%

Does the temperature in this part of the building have a negative effect on your work performance?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	13.2%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

LittleWindy	18
Negligable	13
Yes	12
FirstFloor	9
No	7
Other values (5)	17

Length

Max length	102
Median length	24
Mean length	9.828947368
Min length	2

Characters and Unicode

Total characters	747
Distinct characters	34
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.6%

Sample

1st row	Maybe
2nd row	No
3rd row	Yes
4th row	Yes
5th row	Yes

Common Values

Value	Count	Frequency (%)
LittleWindy	18	23.1%
Negligable	13	16.7%
Yes	12	15.4%
FirstFloor	9	11.5%
No	7	9.0%
SecondFloor	7	9.0%
GroundFloor	6	7.7%
Maybe	2	2.6%
On which floor is your work space located (work space is the place where you spend most of the time)	1	1.3%
Air speed at this moment	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
littlewindy	18	18.2%
negligable	13	13.1%
yes	12	12.1%
firstfloor	9	9.1%
no	7	7.1%
secondfloor	7	7.1%
groundfloor	6	6.1%
is	2	2.0%
the	2	2.0%
work	2	2.0%
Other values (19)	21	21.2%

Most occurring characters

Value	Count	Frequency (%)
e	78	10.4%
o	74	9.9%
l	69	9.2%
i	64	8.6%
t	53	7.1%
r	43	5.8%
n	34	4.6%
d	34	4.6%
F	31	4.1%
s	29	3.9%
Other values (24)	238	31.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	604	80.9%
Uppercase Letter	116	15.5%
Space Separator	25	3.3%
Open Punctuation	1	0.1%
Close Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	78	12.9%
o	74	12.3%
l	69	11.4%
i	64	10.6%
t	53	8.8%
r	43	7.1%
n	34	5.6%
d	34	5.6%
s	29	4.8%
g	26	4.3%
Other values (11)	100	16.6%

Uppercase Letter

Value	Count	Frequency (%)
F	31	26.7%
N	20	17.2%
L	18	15.5%
W	18	15.5%
Y	12	10.3%
S	7	6.0%
G	6	5.2%
M	2	1.7%
O	1	0.9%
A	1	0.9%

Space Separator

Value	Count	Frequency (%)
	25	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	720	96.4%
Common	27	3.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	78	10.8%
o	74	10.3%
l	69	9.6%
i	64	8.9%
t	53	7.4%
r	43	6.0%
n	34	4.7%
d	34	4.7%
F	31	4.3%
s	29	4.0%
Other values (21)	211	29.3%

Common

Value	Count	Frequency (%)
	25	92.6%
(	1	3.7%
)	1	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	747	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	78	10.4%
o	74	9.9%
l	69	9.2%
i	64	8.6%
t	53	7.1%
r	43	5.8%
n	34	4.6%
d	34	4.6%
F	31	4.1%
s	29	3.9%
Other values (24)	238	31.9%

How would you describe the summer indoor air temperature "most time feeling"?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	9.2%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

3	31
4	18
2	11
1	9
5	5
Other values (2)	2

Length

Max length	71
Median length	1
Mean length	2.236842105
Min length	1

Characters and Unicode

Total characters	170
Distinct characters	29
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.6%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
3	31	39.7%
4	18	23.1%
2	11	14.1%
1	9	11.5%
5	5	6.4%
How accessible is from the parking lot to the main door of the college?	1	1.3%
Ventilation and Air smell	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	31	33.7%
4	18	19.6%
2	11	12.0%
1	9	9.8%
5	5	5.4%
the	3	3.3%
main	1	1.1%
air	1	1.1%
and	1	1.1%
ventilation	1	1.1%
Other values (11)	11	12.0%

Most occurring characters

Value	Count	Frequency (%)
3	31	18.2%
4	18	10.6%
	16	9.4%
2	11	6.5%
o	9	5.3%
e	9	5.3%
1	9	5.3%
t	7	4.1%
i	7	4.1%
l	7	4.1%
Other values (19)	46	27.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	76	44.7%
Decimal Number	74	43.5%
Space Separator	16	9.4%
Uppercase Letter	3	1.8%
Other Punctuation	1	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	9	11.8%
e	9	11.8%
t	7	9.2%
i	7	9.2%
l	7	9.2%
a	5	6.6%
n	5	6.6%
s	4	5.3%
r	4	5.3%
c	3	3.9%
Other values (9)	16	21.1%

Decimal Number

Value	Count	Frequency (%)
3	31	41.9%
4	18	24.3%
2	11	14.9%
1	9	12.2%
5	5	6.8%

Uppercase Letter

Value	Count	Frequency (%)
V	1	33.3%
H	1	33.3%
A	1	33.3%

Space Separator

Value	Count	Frequency (%)
	16	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	91	53.5%
Latin	79	46.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	9	11.4%
e	9	11.4%
t	7	8.9%
i	7	8.9%
l	7	8.9%
a	5	6.3%
n	5	6.3%
s	4	5.1%
r	4	5.1%
c	3	3.8%
Other values (12)	19	24.1%

Common

Value	Count	Frequency (%)
3	31	34.1%
4	18	19.8%
	16	17.6%
2	11	12.1%
1	9	9.9%
5	5	5.5%
?	1	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	170	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	31	18.2%
4	18	10.6%
	16	9.4%
2	11	6.5%
o	9	5.3%
e	9	5.3%
1	9	5.3%
t	7	4.1%
i	7	4.1%
l	7	4.1%
Other values (19)	46	27.1%

How would you describe the winter indoor air temperature "most time feeling"
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	13.2%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

No	24
3	16
2	7
4	7
5	7
Other values (5)	15

Length

Max length	44
Median length	1
Mean length	2.592105263
Min length	1

Characters and Unicode

Total characters	197
Distinct characters	30
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.6%

Sample

1st row	2
2nd row	3
3rd row	3
4th row	1
5th row	3

Common Values

Value	Count	Frequency (%)
No	24	30.8%
3	16	20.5%
2	7	9.0%
4	7	9.0%
5	7	9.0%
1	6	7.7%
Yes	4	5.1%
Maybe	3	3.8%
How is easy to go from one floor to another?	1	1.3%
Do you smell odor or unusual smell?	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	24	26.4%
3	16	17.6%
2	7	7.7%
4	7	7.7%
5	7	7.7%
1	6	6.6%
yes	4	4.4%
maybe	3	3.3%
smell	2	2.2%
to	2	2.2%
Other values (13)	13	14.3%

Most occurring characters

Value	Count	Frequency (%)
o	38	19.3%
N	24	12.2%
3	16	8.1%
	15	7.6%
e	12	6.1%
s	9	4.6%
2	7	3.6%
4	7	3.6%
5	7	3.6%
a	6	3.0%
Other values (20)	56	28.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	104	52.8%
Decimal Number	43	21.8%
Uppercase Letter	33	16.8%
Space Separator	15	7.6%
Other Punctuation	2	1.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	38	36.5%
e	12	11.5%
s	9	8.7%
a	6	5.8%
l	6	5.8%
r	5	4.8%
y	5	4.8%
u	4	3.8%
b	3	2.9%
t	3	2.9%
Other values (8)	13	12.5%

Uppercase Letter

Value	Count	Frequency (%)
N	24	72.7%
Y	4	12.1%
M	3	9.1%
D	1	3.0%
H	1	3.0%

Decimal Number

Value	Count	Frequency (%)
3	16	37.2%
2	7	16.3%
4	7	16.3%
5	7	16.3%
1	6	14.0%

Space Separator

Value	Count	Frequency (%)
	15	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	137	69.5%
Common	60	30.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	38	27.7%
N	24	17.5%
e	12	8.8%
s	9	6.6%
a	6	4.4%
l	6	4.4%
r	5	3.6%
y	5	3.6%
u	4	2.9%
Y	4	2.9%
Other values (13)	24	17.5%

Common

Value	Count	Frequency (%)
3	16	26.7%
	15	25.0%
2	7	11.7%
4	7	11.7%
5	7	11.7%
1	6	10.0%
?	2	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	38	19.3%
N	24	12.2%
3	16	8.1%
	15	7.6%
e	12	6.1%
s	9	4.6%
2	7	3.6%
4	7	3.6%
5	7	3.6%
a	6	3.0%
Other values (20)	56	28.4%

Do you feel comfortable under the current temperature ?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	13.2%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

No	27
Yes	17
2	9
Maybe	8
4	6
Other values (5)	9

Length

Max length	57
Median length	39
Mean length	3.460526316
Min length	1

Characters and Unicode

Total characters	263
Distinct characters	33
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	5.3%

Sample

1st row	Maybe
2nd row	No
3rd row	Maybe
4th row	No
5th row	Maybe

Common Values

Value	Count	Frequency (%)
No	27	34.6%
Yes	17	21.8%
2	9	11.5%
Maybe	8	10.3%
4	6	7.7%
3	5	6.4%
How easy is the horizontal circulation?	1	1.3%
1	1	1.3%
5	1	1.3%
Do you feel sleepy or headache when you get to the room ?	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	27	29.0%
yes	17	18.3%
2	9	9.7%
maybe	8	8.6%
4	6	6.5%
3	5	5.4%
the	2	2.2%
you	2	2.2%
feel	1	1.1%
room	1	1.1%
Other values (15)	15	16.1%

Most occurring characters

Value	Count	Frequency (%)
o	38	14.4%
e	36	13.7%
N	27	10.3%
s	20	7.6%
	17	6.5%
Y	17	6.5%
a	13	4.9%
y	12	4.6%
2	9	3.4%
M	8	3.0%
Other values (23)	66	25.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	168	63.9%
Uppercase Letter	54	20.5%
Decimal Number	22	8.4%
Space Separator	17	6.5%
Other Punctuation	2	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	38	22.6%
e	36	21.4%
s	20	11.9%
a	13	7.7%
y	12	7.1%
b	8	4.8%
h	6	3.6%
t	6	3.6%
i	4	2.4%
r	4	2.4%
Other values (11)	21	12.5%

Uppercase Letter

Value	Count	Frequency (%)
N	27	50.0%
Y	17	31.5%
M	8	14.8%
H	1	1.9%
D	1	1.9%

Decimal Number

Value	Count	Frequency (%)
2	9	40.9%
4	6	27.3%
3	5	22.7%
1	1	4.5%
5	1	4.5%

Space Separator

Value	Count	Frequency (%)
	17	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	222	84.4%
Common	41	15.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	38	17.1%
e	36	16.2%
N	27	12.2%
s	20	9.0%
Y	17	7.7%
a	13	5.9%
y	12	5.4%
M	8	3.6%
b	8	3.6%
h	6	2.7%
Other values (16)	37	16.7%

Common

Value	Count	Frequency (%)
	17	41.5%
2	9	22.0%
4	6	14.6%
3	5	12.2%
?	2	4.9%
1	1	2.4%
5	1	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	263	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	38	14.4%
e	36	13.7%
N	27	10.3%
s	20	7.6%
	17	6.5%
Y	17	6.5%
a	13	4.9%
y	12	4.6%
2	9	3.4%
M	8	3.0%
Other values (23)	66	25.1%

How you describe the current temperature in this room?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	7
Distinct (%)	9.2%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

3	22
4	19
5	15
2	12
1	6
Other values (2)	2

Length

Max length	62
Median length	1
Mean length	2.197368421
Min length	1

Characters and Unicode

Total characters	167
Distinct characters	28
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.6%

Sample

1st row	2
2nd row	3
3rd row	2
4th row	1
5th row	3

Common Values

Value	Count	Frequency (%)
3	22	28.2%
4	19	24.4%
5	15	19.2%
2	12	15.4%
1	6	7.7%
How easy is to get out of the building in emergency situation?	1	1.3%
Comfortable under light colour	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	22	24.4%
4	19	21.1%
5	15	16.7%
2	12	13.3%
1	6	6.7%
building	1	1.1%
light	1	1.1%
under	1	1.1%
comfortable	1	1.1%
situation	1	1.1%
Other values (11)	11	12.2%

Most occurring characters

Value	Count	Frequency (%)
3	22	13.2%
4	19	11.4%
	15	9.0%
5	15	9.0%
2	12	7.2%
o	9	5.4%
e	8	4.8%
t	8	4.8%
i	7	4.2%
1	6	3.6%
Other values (18)	46	27.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	75	44.9%
Decimal Number	74	44.3%
Space Separator	15	9.0%
Uppercase Letter	2	1.2%
Other Punctuation	1	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	9	12.0%
e	8	10.7%
t	8	10.7%
i	7	9.3%
u	5	6.7%
n	5	6.7%
l	4	5.3%
g	4	5.3%
r	4	5.3%
s	3	4.0%
Other values (9)	18	24.0%

Decimal Number

Value	Count	Frequency (%)
3	22	29.7%
4	19	25.7%
5	15	20.3%
2	12	16.2%
1	6	8.1%

Uppercase Letter

Value	Count	Frequency (%)
H	1	50.0%
C	1	50.0%

Space Separator

Value	Count	Frequency (%)
	15	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	90	53.9%
Latin	77	46.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	9	11.7%
e	8	10.4%
t	8	10.4%
i	7	9.1%
u	5	6.5%
n	5	6.5%
l	4	5.2%
g	4	5.2%
r	4	5.2%
s	3	3.9%
Other values (11)	20	26.0%

Common

Value	Count	Frequency (%)
3	22	24.4%
4	19	21.1%
	15	16.7%
5	15	16.7%
2	12	13.3%
1	6	6.7%
?	1	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	167	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	22	13.2%
4	19	11.4%
	15	9.0%
5	15	9.0%
2	12	7.2%
o	9	5.4%
e	8	4.8%
t	8	4.8%
i	7	4.2%
1	6	3.6%
Other values (18)	46	27.5%

Does the distraction from noise in this part of building have a negative effect on your work performance "most time feeling"?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	13.2%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

Yes	26
No	12
5	10
4	10
3	8
Other values (5)	10

Length

Max length	52
Median length	37
Mean length	3.25
Min length	1

Characters and Unicode

Total characters	247
Distinct characters	33
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	3.9%

Sample

1st row	Yes
2nd row	No
3rd row	Yes
4th row	Yes
5th row	Yes

Common Values

Value	Count	Frequency (%)
Yes	26	33.3%
No	12	15.4%
5	10	12.8%
4	10	12.8%
3	8	10.3%
Maybe	5	6.4%
2	2	2.6%
Do you know the route to the nearest emergency door?	1	1.3%
Comfort under the current light level	1	1.3%
1	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
yes	26	28.9%
no	12	13.3%
5	10	11.1%
4	10	11.1%
3	8	8.9%
maybe	5	5.6%
the	3	3.3%
2	2	2.2%
door	1	1.1%
level	1	1.1%
Other values (12)	12	13.3%

Most occurring characters

Value	Count	Frequency (%)
e	44	17.8%
s	27	10.9%
Y	26	10.5%
o	21	8.5%
	14	5.7%
N	12	4.9%
5	10	4.0%
4	10	4.0%
t	9	3.6%
r	8	3.2%
Other values (23)	66	26.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	156	63.2%
Uppercase Letter	45	18.2%
Decimal Number	31	12.6%
Space Separator	14	5.7%
Other Punctuation	1	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	44	28.2%
s	27	17.3%
o	21	13.5%
t	9	5.8%
r	8	5.1%
y	7	4.5%
a	6	3.8%
b	5	3.2%
n	5	3.2%
h	4	2.6%
Other values (11)	20	12.8%

Uppercase Letter

Value	Count	Frequency (%)
Y	26	57.8%
N	12	26.7%
M	5	11.1%
C	1	2.2%
D	1	2.2%

Decimal Number

Value	Count	Frequency (%)
5	10	32.3%
4	10	32.3%
3	8	25.8%
2	2	6.5%
1	1	3.2%

Space Separator

Value	Count	Frequency (%)
	14	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	201	81.4%
Common	46	18.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	44	21.9%
s	27	13.4%
Y	26	12.9%
o	21	10.4%
N	12	6.0%
t	9	4.5%
r	8	4.0%
y	7	3.5%
a	6	3.0%
b	5	2.5%
Other values (16)	36	17.9%

Common

Value	Count	Frequency (%)
	14	30.4%
5	10	21.7%
4	10	21.7%
3	8	17.4%
2	2	4.3%
?	1	2.2%
1	1	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	247	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	44	17.8%
s	27	10.9%
Y	26	10.5%
o	21	8.5%
	14	5.7%
N	12	4.9%
5	10	4.0%
4	10	4.0%
t	9	3.6%
r	8	3.2%
Other values (23)	66	26.7%

Is there significant distraction from noise outside (in this moment) ?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	10
Distinct (%)	13.2%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

No	28
3	18
Yes	10
Maybe	5
5	5
Other values (5)	10

Length

Max length	99
Median length	33
Mean length	3.605263158
Min length	1

Characters and Unicode

Total characters	274
Distinct characters	33
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.6%

Sample

1st row	No
2nd row	No
3rd row	Maybe
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	28	35.9%
3	18	23.1%
Yes	10	12.8%
Maybe	5	6.4%
5	5	6.4%
4	4	5.1%
1	2	2.6%
2	2	2.6%
Does the temperature in this part of the building have a negative effect on your work performance?	1	1.3%
Describe the current light level	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	28	29.2%
3	18	18.8%
yes	10	10.4%
maybe	5	5.2%
5	5	5.2%
4	4	4.2%
the	3	3.1%
2	2	2.1%
1	2	2.1%
light	1	1.0%
Other values (18)	18	18.8%

Most occurring characters

Value	Count	Frequency (%)
o	34	12.4%
e	34	12.4%
N	28	10.2%
	22	8.0%
3	18	6.6%
s	13	4.7%
a	11	4.0%
t	11	4.0%
r	10	3.6%
Y	10	3.6%
Other values (23)	83	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	175	63.9%
Uppercase Letter	45	16.4%
Decimal Number	31	11.3%
Space Separator	22	8.0%
Other Punctuation	1	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	34	19.4%
e	34	19.4%
s	13	7.4%
a	11	6.3%
t	11	6.3%
r	10	5.7%
i	7	4.0%
b	7	4.0%
n	6	3.4%
h	6	3.4%
Other values (12)	36	20.6%

Decimal Number

Value	Count	Frequency (%)
3	18	58.1%
5	5	16.1%
4	4	12.9%
1	2	6.5%
2	2	6.5%

Uppercase Letter

Value	Count	Frequency (%)
N	28	62.2%
Y	10	22.2%
M	5	11.1%
D	2	4.4%

Space Separator

Value	Count	Frequency (%)
	22	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	220	80.3%
Common	54	19.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	34	15.5%
e	34	15.5%
N	28	12.7%
s	13	5.9%
a	11	5.0%
t	11	5.0%
r	10	4.5%
Y	10	4.5%
i	7	3.2%
b	7	3.2%
Other values (16)	55	25.0%

Common

Value	Count	Frequency (%)
	22	40.7%
3	18	33.3%
5	5	9.3%
4	4	7.4%
1	2	3.7%
2	2	3.7%
?	1	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	274	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	34	12.4%
e	34	12.4%
N	28	10.2%
	22	8.0%
3	18	6.6%
s	13	4.7%
a	11	4.0%
t	11	4.0%
r	10	3.6%
Y	10	3.6%
Other values (23)	83	30.3%

Is there significant distraction from background noise (machine and undefined noise sources)?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	11
Distinct (%)	14.5%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

yes	23
No	21
3	10
1	5
Yes	4
Other values (6)	13

Length

Max length	82
Median length	33
Mean length	3.684210526
Min length	1

Characters and Unicode

Total characters	280
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	3.9%

Sample

1st row	Yes
2nd row	Maybe
3rd row	Maybe
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
yes	23	29.5%
No	21	26.9%
3	10	12.8%
1	5	6.4%
Yes	4	5.1%
Maybe	4	5.1%
2	4	5.1%
4	2	2.6%
How would you describe the summer indoor air temperature (your most time feeling)?	1	1.3%
5	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
yes	27	29.3%
no	21	22.8%
3	10	10.9%
1	5	5.4%
maybe	4	4.3%
2	4	4.3%
4	2	2.2%
your	1	1.1%
light	1	1.1%
natural	1	1.1%
Other values (16)	16	17.4%

Most occurring characters

Value	Count	Frequency (%)
e	41	14.6%
y	30	10.7%
s	30	10.7%
o	30	10.7%
N	21	7.5%
	16	5.7%
3	10	3.6%
a	10	3.6%
i	9	3.2%
t	8	2.9%
Other values (25)	75	26.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	208	74.3%
Uppercase Letter	31	11.1%
Decimal Number	22	7.9%
Space Separator	16	5.7%
Close Punctuation	1	0.4%
Other Punctuation	1	0.4%
Open Punctuation	1	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	41	19.7%
y	30	14.4%
s	30	14.4%
o	30	14.4%
a	10	4.8%
i	9	4.3%
t	8	3.8%
r	8	3.8%
u	6	2.9%
l	6	2.9%
Other values (11)	30	14.4%

Uppercase Letter

Value	Count	Frequency (%)
N	21	67.7%
M	4	12.9%
Y	4	12.9%
A	1	3.2%
H	1	3.2%

Decimal Number

Value	Count	Frequency (%)
3	10	45.5%
1	5	22.7%
2	4	18.2%
4	2	9.1%
5	1	4.5%

Space Separator

Value	Count	Frequency (%)
	16	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	239	85.4%
Common	41	14.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	41	17.2%
y	30	12.6%
s	30	12.6%
o	30	12.6%
N	21	8.8%
a	10	4.2%
i	9	3.8%
t	8	3.3%
r	8	3.3%
u	6	2.5%
Other values (16)	46	19.2%

Common

Value	Count	Frequency (%)
	16	39.0%
3	10	24.4%
1	5	12.2%
2	4	9.8%
4	2	4.9%
)	1	2.4%
5	1	2.4%
?	1	2.4%
(	1	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	280	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	41	14.6%
y	30	10.7%
s	30	10.7%
o	30	10.7%
N	21	7.5%
	16	5.7%
3	10	3.6%
a	10	3.6%
i	9	3.2%
t	8	2.9%
Other values (25)	75	26.8%

How would you describe the noise in building generally "most time feeling"?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	10.5%
Missing	2
Missing (%)	2.6%
Memory size	752.0 B

No	25
3	23
4	11
2	8
Yes	6
Other values (3)	3

Length

Max length	82
Median length	1
Mean length	3.118421053
Min length	1

Characters and Unicode

Total characters	237
Distinct characters	34
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	3.9%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	4
5th row	2

Common Values

Value	Count	Frequency (%)
No	25	32.1%
3	23	29.5%
4	11	14.1%
2	8	10.3%
Yes	6	7.7%
How would you describe the winter indoor air temperature (your most time feeling)?	1	1.3%
1	1	1.3%
Is there any luminare is OFF at this moment?	1	1.3%
(Missing)	2	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	25	26.0%
3	23	24.0%
4	11	11.5%
2	8	8.3%
yes	6	6.2%
is	2	2.1%
time	1	1.0%
this	1	1.0%
at	1	1.0%
off	1	1.0%
Other values (17)	17	17.7%

Most occurring characters

Value	Count	Frequency (%)
o	33	13.9%
N	25	10.5%
3	23	9.7%
	20	8.4%
e	20	8.4%
4	11	4.6%
s	11	4.6%
t	10	4.2%
r	9	3.8%
i	9	3.8%
Other values (24)	66	27.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	134	56.5%
Decimal Number	43	18.1%
Uppercase Letter	36	15.2%
Space Separator	20	8.4%
Other Punctuation	2	0.8%
Open Punctuation	1	0.4%
Close Punctuation	1	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	33	24.6%
e	20	14.9%
s	11	8.2%
t	10	7.5%
r	9	6.7%
i	9	6.7%
m	6	4.5%
n	6	4.5%
a	5	3.7%
u	5	3.7%
Other values (10)	20	14.9%

Uppercase Letter

Value	Count	Frequency (%)
N	25	69.4%
Y	6	16.7%
F	2	5.6%
H	1	2.8%
I	1	2.8%
O	1	2.8%

Decimal Number

Value	Count	Frequency (%)
3	23	53.5%
4	11	25.6%
2	8	18.6%
1	1	2.3%

Space Separator

Value	Count	Frequency (%)
	20	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	170	71.7%
Common	67	28.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	33	19.4%
N	25	14.7%
e	20	11.8%
s	11	6.5%
t	10	5.9%
r	9	5.3%
i	9	5.3%
Y	6	3.5%
m	6	3.5%
n	6	3.5%
Other values (16)	35	20.6%

Common

Value	Count	Frequency (%)
3	23	34.3%
	20	29.9%
4	11	16.4%
2	8	11.9%
?	2	3.0%
(	1	1.5%
)	1	1.5%
1	1	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	237	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	33	13.9%
N	25	10.5%
3	23	9.7%
	20	8.4%
e	20	8.4%
4	11	4.6%
s	11	4.6%
t	10	4.2%
r	9	3.8%
i	9	3.8%
Other values (24)	66	27.8%

How would describe noise at this moment?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	18.2%
Missing	34
Missing (%)	43.6%
Memory size	752.0 B

No	13
3	9
4	8
Yes	6
2	3
Other values (3)	5

Length

Max length	55
Median length	5
Mean length	3.068181818
Min length	1

Characters and Unicode

Total characters	135
Distinct characters	27
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	4.5%

Sample

1st row	4
2nd row	3
3rd row	3
4th row	3
5th row	2

Common Values

Value	Count	Frequency (%)
No	13	16.7%
3	9	11.5%
4	8	10.3%
Yes	6	7.7%
2	3	3.8%
Maybe	3	3.8%
5	1	1.3%
Do you feel comfortable under the current temperature?	1	1.3%
(Missing)	34	43.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	13	25.5%
3	9	17.6%
4	8	15.7%
yes	6	11.8%
2	3	5.9%
maybe	3	5.9%
5	1	2.0%
do	1	2.0%
you	1	2.0%
feel	1	2.0%
Other values (5)	5	9.8%

Most occurring characters

Value	Count	Frequency (%)
e	18	13.3%
o	17	12.6%
N	13	9.6%
3	9	6.7%
4	8	5.9%
	8	5.9%
Y	6	4.4%
s	6	4.4%
r	6	4.4%
t	5	3.7%
Other values (17)	39	28.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82	60.7%
Uppercase Letter	23	17.0%
Decimal Number	21	15.6%
Space Separator	8	5.9%
Other Punctuation	1	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	18	22.0%
o	17	20.7%
s	6	7.3%
r	6	7.3%
t	5	6.1%
a	5	6.1%
u	4	4.9%
b	4	4.9%
y	4	4.9%
f	2	2.4%
Other values (7)	11	13.4%

Uppercase Letter

Value	Count	Frequency (%)
N	13	56.5%
Y	6	26.1%
M	3	13.0%
D	1	4.3%

Decimal Number

Value	Count	Frequency (%)
3	9	42.9%
4	8	38.1%
2	3	14.3%
5	1	4.8%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	105	77.8%
Common	30	22.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	18	17.1%
o	17	16.2%
N	13	12.4%
Y	6	5.7%
s	6	5.7%
r	6	5.7%
t	5	4.8%
a	5	4.8%
u	4	3.8%
b	4	3.8%
Other values (11)	21	20.0%

Common

Value	Count	Frequency (%)
3	9	30.0%
4	8	26.7%
	8	26.7%
2	3	10.0%
5	1	3.3%
?	1	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	135	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	18	13.3%
o	17	12.6%
N	13	9.6%
3	9	6.7%
4	8	5.9%
	8	5.9%
Y	6	4.4%
s	6	4.4%
r	6	4.4%
t	5	3.7%
Other values (17)	39	28.9%

Does the quality of air in this part of building have a negative effect on your work performance "most time feeling"?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	18.2%
Missing	34
Missing (%)	43.6%
Memory size	752.0 B

No	14
2	9
Yes	7
3	6
4	3
Other values (3)	5

Length

Max length	54
Median length	28.5
Mean length	2.840909091
Min length	1

Characters and Unicode

Total characters	125
Distinct characters	27
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	2.3%

Sample

1st row	No
2nd row	No
3rd row	Yes
4th row	No
5th row	Yes

Common Values

Value	Count	Frequency (%)
No	14	17.9%
2	9	11.5%
Yes	7	9.0%
3	6	7.7%
4	3	3.8%
5	2	2.6%
1	2	2.6%
How you describe the current temperature in this room?	1	1.3%
(Missing)	34	43.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	14	26.9%
2	9	17.3%
yes	7	13.5%
3	6	11.5%
4	3	5.8%
5	2	3.8%
1	2	3.8%
how	1	1.9%
you	1	1.9%
describe	1	1.9%
Other values (6)	6	11.5%

Most occurring characters

Value	Count	Frequency (%)
o	18	14.4%
N	14	11.2%
e	14	11.2%
2	9	7.2%
s	9	7.2%
	8	6.4%
Y	7	5.6%
3	6	4.8%
r	6	4.8%
t	5	4.0%
Other values (17)	29	23.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	72	57.6%
Uppercase Letter	22	17.6%
Decimal Number	22	17.6%
Space Separator	8	6.4%
Other Punctuation	1	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	18	25.0%
e	14	19.4%
s	9	12.5%
r	6	8.3%
t	5	6.9%
u	3	4.2%
i	3	4.2%
h	2	2.8%
m	2	2.8%
c	2	2.8%
Other values (7)	8	11.1%

Decimal Number

Value	Count	Frequency (%)
2	9	40.9%
3	6	27.3%
4	3	13.6%
1	2	9.1%
5	2	9.1%

Uppercase Letter

Value	Count	Frequency (%)
N	14	63.6%
Y	7	31.8%
H	1	4.5%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	94	75.2%
Common	31	24.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	18	19.1%
N	14	14.9%
e	14	14.9%
s	9	9.6%
Y	7	7.4%
r	6	6.4%
t	5	5.3%
u	3	3.2%
i	3	3.2%
h	2	2.1%
Other values (10)	13	13.8%

Common

Value	Count	Frequency (%)
2	9	29.0%
	8	25.8%
3	6	19.4%
4	3	9.7%
1	2	6.5%
5	2	6.5%
?	1	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	125	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	18	14.4%
N	14	11.2%
e	14	11.2%
2	9	7.2%
s	9	7.2%
	8	6.4%
Y	7	5.6%
3	6	4.8%
r	6	4.8%
t	5	4.0%
Other values (17)	29	23.2%

Do you have control over air condition system ?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	9.1%
Missing	34
Missing (%)	43.6%
Memory size	752.0 B

No	32
Maybe	6
Yes	5
Does the distraction from noise in this part of building have a negative effect on your work performance (most time feeling)?	1

Length

Max length	125
Median length	2
Mean length	5.318181818
Min length	2

Characters and Unicode

Total characters	234
Distinct characters	30
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	2.3%

Sample

1st row	No
2nd row	Yes
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	32	41.0%
Maybe	6	7.7%
Yes	5	6.4%
Does the distraction from noise in this part of building have a negative effect on your work performance (most time feeling)?	1	1.3%
(Missing)	34	43.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	32	50.0%
maybe	6	9.4%
yes	5	7.8%
have	1	1.6%
time	1	1.6%
most	1	1.6%
performance	1	1.6%
work	1	1.6%
your	1	1.6%
on	1	1.6%
Other values (14)	14	21.9%

Most occurring characters

Value	Count	Frequency (%)
o	42	17.9%
N	32	13.7%
e	24	10.3%
	20	8.5%
a	12	5.1%
i	10	4.3%
s	10	4.3%
t	9	3.8%
n	8	3.4%
r	7	3.0%
Other values (20)	60	25.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	167	71.4%
Uppercase Letter	44	18.8%
Space Separator	20	8.5%
Open Punctuation	1	0.4%
Close Punctuation	1	0.4%
Other Punctuation	1	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	42	25.1%
e	24	14.4%
a	12	7.2%
i	10	6.0%
s	10	6.0%
t	9	5.4%
n	8	4.8%
r	7	4.2%
b	7	4.2%
y	7	4.2%
Other values (12)	31	18.6%

Uppercase Letter

Value	Count	Frequency (%)
N	32	72.7%
M	6	13.6%
Y	5	11.4%
D	1	2.3%

Space Separator

Value	Count	Frequency (%)
	20	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	211	90.2%
Common	23	9.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	42	19.9%
N	32	15.2%
e	24	11.4%
a	12	5.7%
i	10	4.7%
s	10	4.7%
t	9	4.3%
n	8	3.8%
r	7	3.3%
b	7	3.3%
Other values (16)	50	23.7%

Common

Value	Count	Frequency (%)
	20	87.0%
(	1	4.3%
)	1	4.3%
?	1	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	234	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	42	17.9%
N	32	13.7%
e	24	10.3%
	20	8.5%
a	12	5.1%
i	10	4.3%
s	10	4.3%
t	9	3.8%
n	8	3.4%
r	7	3.0%
Other values (20)	60	25.6%

How would you describe the ventilation and air quality of building "most time feeling"?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	20.5%
Missing	34
Missing (%)	43.6%
Memory size	752.0 B

No	15
2	8
3	5
4	5
Yes	5
Other values (4)	6

Length

Max length	70
Median length	5
Mean length	3.318181818
Min length	1

Characters and Unicode

Total characters	146
Distinct characters	30
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	4.5%

Sample

1st row	3
2nd row	4
3rd row	4
4th row	3
5th row	2

Common Values

Value	Count	Frequency (%)
No	15	19.2%
2	8	10.3%
3	5	6.4%
4	5	6.4%
Yes	5	6.4%
1	2	2.6%
Maybe	2	2.6%
5	1	1.3%
Is there significant distraction from noise outside (at this moment)?	1	1.3%
(Missing)	34	43.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	15	28.3%
2	8	15.1%
3	5	9.4%
4	5	9.4%
yes	5	9.4%
1	2	3.8%
maybe	2	3.8%
from	1	1.9%
this	1	1.9%
at	1	1.9%
Other values (8)	8	15.1%

Most occurring characters

Value	Count	Frequency (%)
o	20	13.7%
N	15	10.3%
e	12	8.2%
s	11	7.5%
	10	6.8%
i	8	5.5%
2	8	5.5%
t	8	5.5%
Y	5	3.4%
3	5	3.4%
Other values (20)	44	30.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	89	61.0%
Uppercase Letter	23	15.8%
Decimal Number	21	14.4%
Space Separator	10	6.8%
Open Punctuation	1	0.7%
Close Punctuation	1	0.7%
Other Punctuation	1	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	20	22.5%
e	12	13.5%
s	11	12.4%
i	8	9.0%
t	8	9.0%
a	5	5.6%
n	5	5.6%
r	3	3.4%
m	3	3.4%
d	2	2.2%
Other values (7)	12	13.5%

Decimal Number

Value	Count	Frequency (%)
2	8	38.1%
3	5	23.8%
4	5	23.8%
1	2	9.5%
5	1	4.8%

Uppercase Letter

Value	Count	Frequency (%)
N	15	65.2%
Y	5	21.7%
M	2	8.7%
I	1	4.3%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	112	76.7%
Common	34	23.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	20	17.9%
N	15	13.4%
e	12	10.7%
s	11	9.8%
i	8	7.1%
t	8	7.1%
Y	5	4.5%
a	5	4.5%
n	5	4.5%
r	3	2.7%
Other values (11)	20	17.9%

Common

Value	Count	Frequency (%)
	10	29.4%
2	8	23.5%
3	5	14.7%
4	5	14.7%
1	2	5.9%
5	1	2.9%
(	1	2.9%
)	1	2.9%
?	1	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	146	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	20	13.7%
N	15	10.3%
e	12	8.2%
s	11	7.5%
	10	6.8%
i	8	5.5%
2	8	5.5%
t	8	5.5%
Y	5	3.4%
3	5	3.4%
Other values (20)	44	30.1%

Do you smell odor or unusual smell in your work-space "most time feeling"?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	9.1%
Missing	34
Missing (%)	43.6%
Memory size	752.0 B

No	28
Yes	13
Maybe	2
Is there significant distraction from background noise (machine and undefined noise sources) (at this moment)?	1

Length

Max length	111
Median length	2
Mean length	4.909090909
Min length	2

Characters and Unicode

Total characters	216
Distinct characters	26
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	2.3%

Sample

1st row	Maybe
2nd row	No
3rd row	Yes
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	28	35.9%
Yes	13	16.7%
Maybe	2	2.6%
Is there significant distraction from background noise (machine and undefined noise sources) (at this moment)?	1	1.3%
(Missing)	34	43.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	28	48.3%
yes	13	22.4%
maybe	2	3.4%
noise	2	3.4%
machine	1	1.7%
this	1	1.7%
at	1	1.7%
sources	1	1.7%
undefined	1	1.7%
and	1	1.7%
Other values (7)	7	12.1%

Most occurring characters

Value	Count	Frequency (%)
o	35	16.2%
N	28	13.0%
e	24	11.1%
s	21	9.7%
	15	6.9%
Y	13	6.0%
n	11	5.1%
i	10	4.6%
a	8	3.7%
t	7	3.2%
Other values (16)	44	20.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	152	70.4%
Uppercase Letter	44	20.4%
Space Separator	15	6.9%
Open Punctuation	2	0.9%
Close Punctuation	2	0.9%
Other Punctuation	1	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	35	23.0%
e	24	15.8%
s	21	13.8%
n	11	7.2%
i	10	6.6%
a	8	5.3%
t	7	4.6%
d	5	3.3%
c	5	3.3%
r	5	3.3%
Other values (8)	21	13.8%

Uppercase Letter

Value	Count	Frequency (%)
N	28	63.6%
Y	13	29.5%
M	2	4.5%
I	1	2.3%

Space Separator

Value	Count	Frequency (%)
	15	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	196	90.7%
Common	20	9.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	35	17.9%
N	28	14.3%
e	24	12.2%
s	21	10.7%
Y	13	6.6%
n	11	5.6%
i	10	5.1%
a	8	4.1%
t	7	3.6%
d	5	2.6%
Other values (12)	34	17.3%

Common

Value	Count	Frequency (%)
	15	75.0%
(	2	10.0%
)	2	10.0%
?	1	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	216	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	35	16.2%
N	28	13.0%
e	24	11.1%
s	21	9.7%
	15	6.9%
Y	13	6.0%
n	11	5.1%
i	10	4.6%
a	8	3.7%
t	7	3.2%
Other values (16)	44	20.4%

Do you feel sleepy or headache when you get to your work-space "most time feeling"?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	18.2%
Missing	34
Missing (%)	43.6%
Memory size	752.0 B

No	13
3	7
5	5
2	5
4	5
Other values (3)	9

Length

Max length	55
Median length	30
Mean length	3.068181818
Min length	1

Characters and Unicode

Total characters	135
Distinct characters	27
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	2.3%

Sample

1st row	No
2nd row	No
3rd row	Yes
4th row	No
5th row	Yes

Common Values

Value	Count	Frequency (%)
No	13	16.7%
3	7	9.0%
5	5	6.4%
2	5	6.4%
4	5	6.4%
Yes	4	5.1%
Maybe	4	5.1%
How would you describe the noise in building generally?	1	1.3%
(Missing)	34	43.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	13	25.0%
3	7	13.5%
5	5	9.6%
2	5	9.6%
4	5	9.6%
yes	4	7.7%
maybe	4	7.7%
how	1	1.9%
would	1	1.9%
you	1	1.9%
Other values (6)	6	11.5%

Most occurring characters

Value	Count	Frequency (%)
o	17	12.6%
e	14	10.4%
N	13	9.6%
	8	5.9%
3	7	5.2%
b	6	4.4%
s	6	4.4%
y	6	4.4%
a	5	3.7%
4	5	3.7%
Other values (17)	48	35.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82	60.7%
Uppercase Letter	22	16.3%
Decimal Number	22	16.3%
Space Separator	8	5.9%
Other Punctuation	1	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	17	20.7%
e	14	17.1%
b	6	7.3%
s	6	7.3%
y	6	7.3%
a	5	6.1%
i	5	6.1%
l	4	4.9%
n	4	4.9%
u	3	3.7%
Other values (7)	12	14.6%

Uppercase Letter

Value	Count	Frequency (%)
N	13	59.1%
Y	4	18.2%
M	4	18.2%
H	1	4.5%

Decimal Number

Value	Count	Frequency (%)
3	7	31.8%
4	5	22.7%
2	5	22.7%
5	5	22.7%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	104	77.0%
Common	31	23.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	17	16.3%
e	14	13.5%
N	13	12.5%
b	6	5.8%
s	6	5.8%
y	6	5.8%
a	5	4.8%
i	5	4.8%
Y	4	3.8%
M	4	3.8%
Other values (11)	24	23.1%

Common

Value	Count	Frequency (%)
	8	25.8%
3	7	22.6%
4	5	16.1%
2	5	16.1%
5	5	16.1%
?	1	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	135	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	17	12.6%
e	14	10.4%
N	13	9.6%
	8	5.9%
3	7	5.2%
b	6	4.4%
s	6	4.4%
y	6	4.4%
a	5	3.7%
4	5	3.7%
Other values (17)	48	35.6%

Right now, do you smell unusual smell?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	20.5%
Missing	34
Missing (%)	43.6%
Memory size	752.0 B

no	17
4	9
5	5
3	4
2	3
Other values (4)	6

Length

Max length	41
Median length	23
Mean length	2.568181818
Min length	1

Characters and Unicode

Total characters	113
Distinct characters	25
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	4.5%

Sample

1st row	no
2nd row	maybe
3rd row	no
4th row	no
5th row	yes

Common Values

Value	Count	Frequency (%)
no	17	21.8%
4	9	11.5%
5	5	6.4%
3	4	5.1%
2	3	3.8%
maybe	2	2.6%
yes	2	2.6%
How would describe noise at this moment?	1	1.3%
1	1	1.3%
(Missing)	34	43.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	17	34.0%
4	9	18.0%
5	5	10.0%
3	4	8.0%
2	3	6.0%
maybe	2	4.0%
yes	2	4.0%
how	1	2.0%
would	1	2.0%
describe	1	2.0%
Other values (5)	5	10.0%

Most occurring characters

Value	Count	Frequency (%)
o	21	18.6%
n	19	16.8%
4	9	8.0%
e	8	7.1%
	7	6.2%
5	5	4.4%
s	5	4.4%
3	4	3.5%
m	4	3.5%
y	4	3.5%
Other values (15)	27	23.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82	72.6%
Decimal Number	22	19.5%
Space Separator	7	6.2%
Other Punctuation	1	0.9%
Uppercase Letter	1	0.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	21	25.6%
n	19	23.2%
e	8	9.8%
s	5	6.1%
m	4	4.9%
y	4	4.9%
b	3	3.7%
i	3	3.7%
a	3	3.7%
t	3	3.7%
Other values (7)	9	11.0%

Decimal Number

Value	Count	Frequency (%)
4	9	40.9%
5	5	22.7%
3	4	18.2%
2	3	13.6%
1	1	4.5%

Space Separator

Value	Count	Frequency (%)
	7	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Uppercase Letter

Value	Count	Frequency (%)
H	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	83	73.5%
Common	30	26.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	21	25.3%
n	19	22.9%
e	8	9.6%
s	5	6.0%
m	4	4.8%
y	4	4.8%
b	3	3.6%
i	3	3.6%
a	3	3.6%
t	3	3.6%
Other values (8)	10	12.0%

Common

Value	Count	Frequency (%)
4	9	30.0%
	7	23.3%
5	5	16.7%
3	4	13.3%
2	3	10.0%
?	1	3.3%
1	1	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	113	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	21	18.6%
n	19	16.8%
4	9	8.0%
e	8	7.1%
	7	6.2%
5	5	4.4%
s	5	4.4%
3	4	3.5%
m	4	3.5%
y	4	3.5%
Other values (15)	27	23.9%

Does the quality of light (color and light level) in this part of building have a negative effect on your work performance ?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	9
Distinct (%)	20.5%
Missing	34
Missing (%)	43.6%
Memory size	752.0 B

1	11
Yes	10
No	8
2	5
Maybe	3
Other values (4)	7

Length

Max length	60
Median length	32.5
Mean length	3.25
Min length	1

Characters and Unicode

Total characters	143
Distinct characters	30
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	4.5%

Sample

1st row	No
2nd row	Yes
3rd row	Maybe
4th row	Yes
5th row	No

Common Values

Value	Count	Frequency (%)
1	11	14.1%
Yes	10	12.8%
No	8	10.3%
2	5	6.4%
Maybe	3	3.8%
3	3	3.8%
4	2	2.6%
How would you rate the level of cleanliness of the building?	1	1.3%
5	1	1.3%
(Missing)	34	43.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	11	20.4%
yes	10	18.5%
no	8	14.8%
2	5	9.3%
maybe	3	5.6%
3	3	5.6%
4	2	3.7%
of	2	3.7%
the	2	3.7%
level	1	1.9%
Other values (7)	7	13.0%

Most occurring characters

Value	Count	Frequency (%)
e	20	14.0%
o	13	9.1%
s	12	8.4%
1	11	7.7%
Y	10	7.0%
	10	7.0%
N	8	5.6%
l	6	4.2%
2	5	3.5%
a	5	3.5%
Other values (20)	43	30.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	88	61.5%
Decimal Number	22	15.4%
Uppercase Letter	22	15.4%
Space Separator	10	7.0%
Other Punctuation	1	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	20	22.7%
o	13	14.8%
s	12	13.6%
l	6	6.8%
a	5	5.7%
y	4	4.5%
b	4	4.5%
t	3	3.4%
i	3	3.4%
n	3	3.4%
Other values (9)	15	17.0%

Decimal Number

Value	Count	Frequency (%)
1	11	50.0%
2	5	22.7%
3	3	13.6%
4	2	9.1%
5	1	4.5%

Uppercase Letter

Value	Count	Frequency (%)
Y	10	45.5%
N	8	36.4%
M	3	13.6%
H	1	4.5%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	110	76.9%
Common	33	23.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	20	18.2%
o	13	11.8%
s	12	10.9%
Y	10	9.1%
N	8	7.3%
l	6	5.5%
a	5	4.5%
y	4	3.6%
b	4	3.6%
t	3	2.7%
Other values (13)	25	22.7%

Common

Value	Count	Frequency (%)
1	11	33.3%
	10	30.3%
2	5	15.2%
3	3	9.1%
4	2	6.1%
?	1	3.0%
5	1	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	143	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	20	14.0%
o	13	9.1%
s	12	8.4%
1	11	7.7%
Y	10	7.0%
	10	7.0%
N	8	5.6%
l	6	4.2%
2	5	3.5%
a	5	3.5%
Other values (20)	43	30.1%

Is there availability of natural light?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	13.6%
Missing	34
Missing (%)	43.6%
Memory size	752.0 B

1	17
3	12
2	7
4	5
5	2

Length

Max length	29
Median length	1
Mean length	1.636363636
Min length	1

Characters and Unicode

Total characters	72
Distinct characters	23
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	2.3%

Sample

1st row	4
2nd row	3
3rd row	2
4th row	3
5th row	1

Common Values

Value	Count	Frequency (%)
1	17	21.8%
3	12	15.4%
2	7	9.0%
4	5	6.4%
5	2	2.6%
How clean is your work-space?	1	1.3%
(Missing)	34	43.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	17	35.4%
3	12	25.0%
2	7	14.6%
4	5	10.4%
5	2	4.2%
how	1	2.1%
clean	1	2.1%
is	1	2.1%
your	1	2.1%
work-space	1	2.1%

Most occurring characters

Value	Count	Frequency (%)
1	17	23.6%
3	12	16.7%
2	7	9.7%
4	5	6.9%
	4	5.6%
o	3	4.2%
r	2	2.8%
s	2	2.8%
a	2	2.8%
e	2	2.8%
Other values (13)	16	22.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	43	59.7%
Lowercase Letter	22	30.6%
Space Separator	4	5.6%
Uppercase Letter	1	1.4%
Dash Punctuation	1	1.4%
Other Punctuation	1	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3	13.6%
r	2	9.1%
s	2	9.1%
a	2	9.1%
e	2	9.1%
c	2	9.1%
w	2	9.1%
l	1	4.5%
n	1	4.5%
i	1	4.5%
Other values (4)	4	18.2%

Decimal Number

Value	Count	Frequency (%)
1	17	39.5%
3	12	27.9%
2	7	16.3%
4	5	11.6%
5	2	4.7%

Space Separator

Value	Count	Frequency (%)
	4	100.0%

Uppercase Letter

Value	Count	Frequency (%)
H	1	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	49	68.1%
Latin	23	31.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3	13.0%
r	2	8.7%
s	2	8.7%
a	2	8.7%
e	2	8.7%
c	2	8.7%
w	2	8.7%
l	1	4.3%
n	1	4.3%
i	1	4.3%
Other values (5)	5	21.7%

Common

Value	Count	Frequency (%)
1	17	34.7%
3	12	24.5%
2	7	14.3%
4	5	10.2%
	4	8.2%
5	2	4.1%
-	1	2.0%
?	1	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	72	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	17	23.6%
3	12	16.7%
2	7	9.7%
4	5	6.9%
	4	5.6%
o	3	4.2%
r	2	2.8%
s	2	2.8%
a	2	2.8%
e	2	2.8%
Other values (13)	16	22.2%

Are there blinds or shutters blocking the natural light ?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	9.1%
Missing	34
Missing (%)	43.6%
Memory size	752.0 B

Yes	21
No	16
Maybe	6
Does the quality of air in this part of building have a negative effect on your work performance?	1

Length

Max length	97
Median length	5
Mean length	5.045454545
Min length	2

Characters and Unicode

Total characters	222
Distinct characters	29
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	2.3%

Sample

1st row	Yes
2nd row	No
3rd row	Yes
4th row	Yes
5th row	Yes

Common Values

Value	Count	Frequency (%)
Yes	21	26.9%
No	16	20.5%
Maybe	6	7.7%
Does the quality of air in this part of building have a negative effect on your work performance?	1	1.3%
(Missing)	34	43.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
yes	21	34.4%
no	16	26.2%
maybe	6	9.8%
of	2	3.3%
have	1	1.6%
work	1	1.6%
your	1	1.6%
on	1	1.6%
effect	1	1.6%
negative	1	1.6%
Other values (10)	10	16.4%

Most occurring characters

Value	Count	Frequency (%)
e	36	16.2%
s	23	10.4%
o	23	10.4%
Y	21	9.5%
	17	7.7%
N	16	7.2%
a	13	5.9%
y	8	3.6%
i	7	3.2%
b	7	3.2%
Other values (19)	51	23.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	160	72.1%
Uppercase Letter	44	19.8%
Space Separator	17	7.7%
Other Punctuation	1	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	36	22.5%
s	23	14.4%
o	23	14.4%
a	13	8.1%
y	8	5.0%
i	7	4.4%
b	7	4.4%
t	6	3.8%
r	6	3.8%
n	5	3.1%
Other values (13)	26	16.2%

Uppercase Letter

Value	Count	Frequency (%)
Y	21	47.7%
N	16	36.4%
M	6	13.6%
D	1	2.3%

Space Separator

Value	Count	Frequency (%)
	17	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	204	91.9%
Common	18	8.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	36	17.6%
s	23	11.3%
o	23	11.3%
Y	21	10.3%
N	16	7.8%
a	13	6.4%
y	8	3.9%
i	7	3.4%
b	7	3.4%
M	6	2.9%
Other values (17)	44	21.6%

Common

Value	Count	Frequency (%)
	17	94.4%
?	1	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	222	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	36	16.2%
s	23	10.4%
o	23	10.4%
Y	21	9.5%
	17	7.7%
N	16	7.2%
a	13	5.9%
y	8	3.6%
i	7	3.2%
b	7	3.2%
Other values (19)	51	23.0%

Do you have control over artificial lightning ?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	9.1%
Missing	34
Missing (%)	43.6%
Memory size	752.0 B

Yes	27
No	11
Maybe	5
Do you have control over air condition system?	1

Length

Max length	46
Median length	3
Mean length	3.954545455
Min length	2

Characters and Unicode

Total characters	174
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	2.3%

Sample

1st row	Yes
2nd row	No
3rd row	Yes
4th row	Yes
5th row	No

Common Values

Value	Count	Frequency (%)
Yes	27	34.6%
No	11	14.1%
Maybe	5	6.4%
Do you have control over air condition system?	1	1.3%
(Missing)	34	43.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
yes	27	52.9%
no	11	21.6%
maybe	5	9.8%
do	1	2.0%
you	1	2.0%
have	1	2.0%
control	1	2.0%
over	1	2.0%
air	1	2.0%
condition	1	2.0%

Most occurring characters

Value	Count	Frequency (%)
e	35	20.1%
s	29	16.7%
Y	27	15.5%
o	18	10.3%
N	11	6.3%
a	7	4.0%
y	7	4.0%
	7	4.0%
M	5	2.9%
b	5	2.9%
Other values (13)	23	13.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	122	70.1%
Uppercase Letter	44	25.3%
Space Separator	7	4.0%
Other Punctuation	1	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	35	28.7%
s	29	23.8%
o	18	14.8%
a	7	5.7%
y	7	5.7%
b	5	4.1%
n	3	2.5%
t	3	2.5%
r	3	2.5%
i	3	2.5%
Other values (7)	9	7.4%

Uppercase Letter

Value	Count	Frequency (%)
Y	27	61.4%
N	11	25.0%
M	5	11.4%
D	1	2.3%

Space Separator

Value	Count	Frequency (%)
	7	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	166	95.4%
Common	8	4.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	35	21.1%
s	29	17.5%
Y	27	16.3%
o	18	10.8%
N	11	6.6%
a	7	4.2%
y	7	4.2%
M	5	3.0%
b	5	3.0%
n	3	1.8%
Other values (11)	19	11.4%

Common

Value	Count	Frequency (%)
	7	87.5%
?	1	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	174	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	35	20.1%
s	29	16.7%
Y	27	15.5%
o	18	10.3%
N	11	6.3%
a	7	4.0%
y	7	4.0%
	7	4.0%
M	5	2.9%
b	5	2.9%
Other values (13)	23	13.2%

Is there any luminare is OFF at this moment?
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	6
Distinct (%)	13.6%
Missing	34
Missing (%)	43.6%
Memory size	752.0 B

No	21
3	11
2	8
4	2
How would you describe the ventilation and air quality of building ?	1

Length

Max length	68
Median length	35
Mean length	3
Min length	1

Characters and Unicode

Total characters	132
Distinct characters	28
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	4.5%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	21	26.9%
3	11	14.1%
2	8	10.3%
4	2	2.6%
How would you describe the ventilation and air quality of building ?	1	1.3%
5	1	1.3%
(Missing)	34	43.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	21	38.2%
3	11	20.0%
2	8	14.5%
4	2	3.6%
and	1	1.8%
	1	1.8%
building	1	1.8%
of	1	1.8%
quality	1	1.8%
air	1	1.8%
Other values (7)	7	12.7%

Most occurring characters

Value	Count	Frequency (%)
o	26	19.7%
N	21	15.9%
3	11	8.3%
	11	8.3%
2	8	6.1%
i	7	5.3%
d	4	3.0%
t	4	3.0%
e	4	3.0%
a	4	3.0%
Other values (18)	32	24.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	76	57.6%
Uppercase Letter	22	16.7%
Decimal Number	22	16.7%
Space Separator	11	8.3%
Other Punctuation	1	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	26	34.2%
i	7	9.2%
d	4	5.3%
t	4	5.3%
e	4	5.3%
a	4	5.3%
n	4	5.3%
l	4	5.3%
u	4	5.3%
w	2	2.6%
Other values (10)	13	17.1%

Decimal Number

Value	Count	Frequency (%)
3	11	50.0%
2	8	36.4%
4	2	9.1%
5	1	4.5%

Uppercase Letter

Value	Count	Frequency (%)
N	21	95.5%
H	1	4.5%

Space Separator

Value	Count	Frequency (%)
	11	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	98	74.2%
Common	34	25.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	26	26.5%
N	21	21.4%
i	7	7.1%
d	4	4.1%
t	4	4.1%
e	4	4.1%
a	4	4.1%
n	4	4.1%
l	4	4.1%
u	4	4.1%
Other values (12)	16	16.3%

Common

Value	Count	Frequency (%)
3	11	32.4%
	11	32.4%
2	8	23.5%
4	2	5.9%
?	1	2.9%
5	1	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	132	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	26	19.7%
N	21	15.9%
3	11	8.3%
	11	8.3%
2	8	6.1%
i	7	5.3%
d	4	3.0%
t	4	3.0%
e	4	3.0%
a	4	3.0%
Other values (18)	32	24.2%

Unnamed: 61
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	17.4%
Missing	55
Missing (%)	70.5%
Memory size	752.0 B

No	16
Maybe	4
Yes	2
Do you smell odor or unusual smell in your work-space?	1

Length

Max length	54
Median length	2
Mean length	4.869565217
Min length	2

Characters and Unicode

Total characters	112
Distinct characters	24
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	4.3%

Sample

1st row	Do you smell odor or unusual smell in your work-space?
2nd row	No
3rd row	No
4th row	Maybe
5th row	No

Common Values

Value	Count	Frequency (%)
No	16	20.5%
Maybe	4	5.1%
Yes	2	2.6%
Do you smell odor or unusual smell in your work-space?	1	1.3%
(Missing)	55	70.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	16	50.0%
maybe	4	12.5%
yes	2	6.2%
smell	2	6.2%
do	1	3.1%
you	1	3.1%
odor	1	3.1%
or	1	3.1%
unusual	1	3.1%
in	1	3.1%
Other values (2)	2	6.2%

Most occurring characters

Value	Count	Frequency (%)
o	23	20.5%
N	16	14.3%
e	9	8.0%
	9	8.0%
a	6	5.4%
y	6	5.4%
s	6	5.4%
l	5	4.5%
u	5	4.5%
M	4	3.6%
Other values (14)	23	20.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	78	69.6%
Uppercase Letter	23	20.5%
Space Separator	9	8.0%
Dash Punctuation	1	0.9%
Other Punctuation	1	0.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	23	29.5%
e	9	11.5%
a	6	7.7%
y	6	7.7%
s	6	7.7%
l	5	6.4%
u	5	6.4%
b	4	5.1%
r	4	5.1%
n	2	2.6%
Other values (7)	8	10.3%

Uppercase Letter

Value	Count	Frequency (%)
N	16	69.6%
M	4	17.4%
Y	2	8.7%
D	1	4.3%

Space Separator

Value	Count	Frequency (%)
	9	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	101	90.2%
Common	11	9.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	23	22.8%
N	16	15.8%
e	9	8.9%
a	6	5.9%
y	6	5.9%
s	6	5.9%
l	5	5.0%
u	5	5.0%
M	4	4.0%
b	4	4.0%
Other values (11)	17	16.8%

Common

Value	Count	Frequency (%)
	9	81.8%
-	1	9.1%
?	1	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	112	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	23	20.5%
N	16	14.3%
e	9	8.0%
	9	8.0%
a	6	5.4%
y	6	5.4%
s	6	5.4%
l	5	4.5%
u	5	4.5%
M	4	3.6%
Other values (14)	23	20.5%

Unnamed: 62
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	17.4%
Missing	55
Missing (%)	70.5%
Memory size	752.0 B

Yes	10
No	8
Maybe	4
Do you feel sleepy or headache when you get to your work-space?	1

Length

Max length	63
Median length	5
Mean length	5.608695652
Min length	2

Characters and Unicode

Total characters	129
Distinct characters	26
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	4.3%

Sample

1st row	Do you feel sleepy or headache when you get to your work-space?
2nd row	Maybe
3rd row	Maybe
4th row	No
5th row	Yes

Common Values

Value	Count	Frequency (%)
Yes	10	12.8%
No	8	10.3%
Maybe	4	5.1%
Do you feel sleepy or headache when you get to your work-space?	1	1.3%
(Missing)	55	70.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
yes	10	29.4%
no	8	23.5%
maybe	4	11.8%
you	2	5.9%
do	1	2.9%
feel	1	2.9%
sleepy	1	2.9%
or	1	2.9%
headache	1	2.9%
when	1	2.9%
Other values (4)	4	11.8%

Most occurring characters

Value	Count	Frequency (%)
e	23	17.8%
o	15	11.6%
s	12	9.3%
	11	8.5%
Y	10	7.8%
N	8	6.2%
y	8	6.2%
a	7	5.4%
M	4	3.1%
b	4	3.1%
Other values (16)	27	20.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	93	72.1%
Uppercase Letter	23	17.8%
Space Separator	11	8.5%
Dash Punctuation	1	0.8%
Other Punctuation	1	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	23	24.7%
o	15	16.1%
s	12	12.9%
y	8	8.6%
a	7	7.5%
b	4	4.3%
h	3	3.2%
u	3	3.2%
r	3	3.2%
t	2	2.2%
Other values (9)	13	14.0%

Uppercase Letter

Value	Count	Frequency (%)
Y	10	43.5%
N	8	34.8%
M	4	17.4%
D	1	4.3%

Space Separator

Value	Count	Frequency (%)
	11	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	116	89.9%
Common	13	10.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	23	19.8%
o	15	12.9%
s	12	10.3%
Y	10	8.6%
N	8	6.9%
y	8	6.9%
a	7	6.0%
M	4	3.4%
b	4	3.4%
h	3	2.6%
Other values (13)	22	19.0%

Common

Value	Count	Frequency (%)
	11	84.6%
-	1	7.7%
?	1	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	129	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	23	17.8%
o	15	11.6%
s	12	9.3%
	11	8.5%
Y	10	7.8%
N	8	6.2%
y	8	6.2%
a	7	5.4%
M	4	3.1%
b	4	3.1%
Other values (16)	27	20.9%

Unnamed: 63
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	17.4%
Missing	55
Missing (%)	70.5%
Memory size	752.0 B

No	11
Yes	6
Maybe	5
Does the quality of light in this part of building have a negative effect on your work performance ?	1

Length

Max length	100
Median length	5
Mean length	7.173913043
Min length	2

Characters and Unicode

Total characters	165
Distinct characters	29
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	4.3%

Sample

1st row	Does the quality of light in this part of building have a negative effect on your work performance ?
2nd row	No
3rd row	Yes
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	11	14.1%
Yes	6	7.7%
Maybe	5	6.4%
Does the quality of light in this part of building have a negative effect on your work performance ?	1	1.3%
(Missing)	55	70.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
no	11	26.8%
yes	6	14.6%
maybe	5	12.2%
of	2	4.9%
have	1	2.4%
performance	1	2.4%
work	1	2.4%
your	1	2.4%
on	1	2.4%
effect	1	2.4%
Other values (11)	11	26.8%

Most occurring characters

Value	Count	Frequency (%)
e	20	12.1%
	18	10.9%
o	18	10.9%
N	11	6.7%
a	11	6.7%
s	8	4.8%
t	7	4.2%
i	7	4.2%
y	7	4.2%
Y	6	3.6%
Other values (19)	52	31.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	123	74.5%
Uppercase Letter	23	13.9%
Space Separator	18	10.9%
Other Punctuation	1	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	20	16.3%
o	18	14.6%
a	11	8.9%
s	8	6.5%
t	7	5.7%
i	7	5.7%
y	7	5.7%
b	6	4.9%
f	5	4.1%
r	5	4.1%
Other values (13)	29	23.6%

Uppercase Letter

Value	Count	Frequency (%)
N	11	47.8%
Y	6	26.1%
M	5	21.7%
D	1	4.3%

Space Separator

Value	Count	Frequency (%)
	18	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	146	88.5%
Common	19	11.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	20	13.7%
o	18	12.3%
N	11	7.5%
a	11	7.5%
s	8	5.5%
t	7	4.8%
i	7	4.8%
y	7	4.8%
Y	6	4.1%
b	6	4.1%
Other values (17)	45	30.8%

Common

Value	Count	Frequency (%)
	18	94.7%
?	1	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	165	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	20	12.1%
	18	10.9%
o	18	10.9%
N	11	6.7%
a	11	6.7%
s	8	4.8%
t	7	4.2%
i	7	4.2%
y	7	4.2%
Y	6	3.6%
Other values (19)	52	31.5%

Unnamed: 64
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	5
Distinct (%)	21.7%
Missing	55
Missing (%)	70.5%
Memory size	752.0 B

3	9
2	5
1	4
4	4
Is there availability of natural light?	1

Length

Max length	39
Median length	1
Mean length	2.652173913
Min length	1

Characters and Unicode

Total characters	61
Distinct characters	23
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	4.3%

Sample

1st row	Is there availability of natural light?
2nd row	1
3rd row	3
4th row	3
5th row	2

Common Values

Value	Count	Frequency (%)
3	9	11.5%
2	5	6.4%
1	4	5.1%
4	4	5.1%
Is there availability of natural light?	1	1.3%
(Missing)	55	70.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
3	9	32.1%
2	5	17.9%
1	4	14.3%
4	4	14.3%
is	1	3.6%
there	1	3.6%
availability	1	3.6%
of	1	3.6%
natural	1	3.6%
light	1	3.6%

Most occurring characters

Value	Count	Frequency (%)
3	9	14.8%
	5	8.2%
2	5	8.2%
a	5	8.2%
i	4	6.6%
4	4	6.6%
t	4	6.6%
1	4	6.6%
l	4	6.6%
h	2	3.3%
Other values (13)	15	24.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	32	52.5%
Decimal Number	22	36.1%
Space Separator	5	8.2%
Uppercase Letter	1	1.6%
Other Punctuation	1	1.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	5	15.6%
i	4	12.5%
t	4	12.5%
l	4	12.5%
h	2	6.2%
e	2	6.2%
r	2	6.2%
o	1	3.1%
g	1	3.1%
u	1	3.1%
Other values (6)	6	18.8%

Decimal Number

Value	Count	Frequency (%)
3	9	40.9%
2	5	22.7%
4	4	18.2%
1	4	18.2%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Uppercase Letter

Value	Count	Frequency (%)
I	1	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	33	54.1%
Common	28	45.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	5	15.2%
i	4	12.1%
t	4	12.1%
l	4	12.1%
h	2	6.1%
e	2	6.1%
r	2	6.1%
o	1	3.0%
g	1	3.0%
u	1	3.0%
Other values (7)	7	21.2%

Common

Value	Count	Frequency (%)
3	9	32.1%
	5	17.9%
2	5	17.9%
4	4	14.3%
1	4	14.3%
?	1	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	61	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	9	14.8%
	5	8.2%
2	5	8.2%
a	5	8.2%
i	4	6.6%
4	4	6.6%
t	4	6.6%
1	4	6.6%
l	4	6.6%
h	2	3.3%
Other values (13)	15	24.6%

Unnamed: 65
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	17.4%
Missing	55
Missing (%)	70.5%
Memory size	752.0 B

Maybe	8
No	8
Yes	6
Are there blinds or shutters blocking the natural light?	1

Length

Max length	56
Median length	5
Mean length	5.652173913
Min length	2

Characters and Unicode

Total characters	130
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	4.3%

Sample

1st row	Are there blinds or shutters blocking the natural light?
2nd row	Yes
3rd row	Maybe
4th row	No
5th row	Maybe

Common Values

Value	Count	Frequency (%)
Maybe	8	10.3%
No	8	10.3%
Yes	6	7.7%
Are there blinds or shutters blocking the natural light?	1	1.3%
(Missing)	55	70.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
maybe	8	25.8%
no	8	25.8%
yes	6	19.4%
are	1	3.2%
there	1	3.2%
blinds	1	3.2%
or	1	3.2%
shutters	1	3.2%
blocking	1	3.2%
the	1	3.2%
Other values (2)	2	6.5%

Most occurring characters

Value	Count	Frequency (%)
e	19	14.6%
o	10	7.7%
a	10	7.7%
b	10	7.7%
s	9	6.9%
M	8	6.2%
	8	6.2%
N	8	6.2%
y	8	6.2%
Y	6	4.6%
Other values (13)	34	26.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98	75.4%
Uppercase Letter	23	17.7%
Space Separator	8	6.2%
Other Punctuation	1	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	19	19.4%
o	10	10.2%
a	10	10.2%
b	10	10.2%
s	9	9.2%
y	8	8.2%
t	6	6.1%
r	5	5.1%
h	4	4.1%
l	4	4.1%
Other values (7)	13	13.3%

Uppercase Letter

Value	Count	Frequency (%)
M	8	34.8%
N	8	34.8%
Y	6	26.1%
A	1	4.3%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	121	93.1%
Common	9	6.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	19	15.7%
o	10	8.3%
a	10	8.3%
b	10	8.3%
s	9	7.4%
M	8	6.6%
N	8	6.6%
y	8	6.6%
Y	6	5.0%
t	6	5.0%
Other values (11)	27	22.3%

Common

Value	Count	Frequency (%)
	8	88.9%
?	1	11.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	130	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	19	14.6%
o	10	7.7%
a	10	7.7%
b	10	7.7%
s	9	6.9%
M	8	6.2%
	8	6.2%
N	8	6.2%
y	8	6.2%
Y	6	4.6%
Other values (13)	34	26.2%

Unnamed: 66
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	17.4%
Missing	55
Missing (%)	70.5%
Memory size	752.0 B

Yes	11
No	8
Maybe	3
Do you have control over artificial lightning?	1

Length

Max length	46
Median length	5
Mean length	4.782608696
Min length	2

Characters and Unicode

Total characters	110
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	4.3%

Sample

1st row	Do you have control over artificial lightning?
2nd row	Yes
3rd row	Yes
4th row	Yes
5th row	Maybe

Common Values

Value	Count	Frequency (%)
Yes	11	14.1%
No	8	10.3%
Maybe	3	3.8%
Do you have control over artificial lightning?	1	1.3%
(Missing)	55	70.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
yes	11	37.9%
no	8	27.6%
maybe	3	10.3%
do	1	3.4%
you	1	3.4%
have	1	3.4%
control	1	3.4%
over	1	3.4%
artificial	1	3.4%
lightning	1	3.4%

Most occurring characters

Value	Count	Frequency (%)
e	16	14.5%
o	13	11.8%
Y	11	10.0%
s	11	10.0%
N	8	7.3%
a	6	5.5%
	6	5.5%
i	5	4.5%
y	4	3.6%
b	3	2.7%
Other values (13)	27	24.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	80	72.7%
Uppercase Letter	23	20.9%
Space Separator	6	5.5%
Other Punctuation	1	0.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	16	20.0%
o	13	16.2%
s	11	13.8%
a	6	7.5%
i	5	6.2%
y	4	5.0%
b	3	3.8%
n	3	3.8%
t	3	3.8%
r	3	3.8%
Other values (7)	13	16.2%

Uppercase Letter

Value	Count	Frequency (%)
Y	11	47.8%
N	8	34.8%
M	3	13.0%
D	1	4.3%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Other Punctuation

Value	Count	Frequency (%)
?	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	103	93.6%
Common	7	6.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	16	15.5%
o	13	12.6%
Y	11	10.7%
s	11	10.7%
N	8	7.8%
a	6	5.8%
i	5	4.9%
y	4	3.9%
b	3	2.9%
M	3	2.9%
Other values (11)	23	22.3%

Common

Value	Count	Frequency (%)
	6	85.7%
?	1	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	110	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	16	14.5%
o	13	11.8%
Y	11	10.0%
s	11	10.0%
N	8	7.3%
a	6	5.5%
	6	5.5%
i	5	4.5%
y	4	3.6%
b	3	2.7%
Other values (13)	27	24.5%

Cramér's V (φc)
Phik (φk)

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Location	Time	Decimal	Illumination level (Lux)	Color Tempreture	Average Noise level	O2 Concentration (%Vol)	CO2 at any moment (PPM)	LPG concen (ppm)	Alcohole Concen (ppm)	Methan Concen (ppm)	CO concen (ppm)	Hydrogyn Concen (ppm)	Netric tVOC level (ppm)	VOC Formerdahied Level (ppm)	Different VOC (CO) Level (ppm)	Room Temp ( C )	Room reative humadity %	Radiant Temp 1 (C)	Radiant Temp 2 (C)	Radiant Temp 3 (C)	Radiant Temp 1 (C).1	Wind Speed (mm/s)	Timestamp	Room name and code	Gender	Occupation	Age	Height	Weight	Your Activity	Clothing	How long do you spend in the building during the day	How long have you (worked-studied) in this building	In average day how much time do you spend in the [Office ]	In average day how much time do you spend in the [Lecture room ]	In average day how much time do you spend in the [laboratory ]	In average day how much time do you spend in the [Studio Design]	In average day how much time do you spend in the [Cafeteria ]	In average day how much time do you spend working at computer "average hours per day"	Does the temperature in this part of the building have a negative effect on your work performance?	How would you describe the summer indoor air temperature "most time feeling"?	How would you describe the winter indoor air temperature "most time feeling"	Do you feel comfortable under the current temperature ?	How you describe the current temperature in this room?	Does the distraction from noise in this part of building have a negative effect on your work performance "most time feeling"?	Is there significant distraction from noise outside (in this moment) ?	Is there significant distraction from background noise (machine and undefined noise sources)?	How would you describe the noise in building generally "most time feeling"?	How would describe noise at this moment?	Does the quality of air in this part of building have a negative effect on your work performance "most time feeling"?	Do you have control over air condition system ?	How would you describe the ventilation and air quality of building "most time feeling"?	Do you smell odor or unusual smell in your work-space "most time feeling"?	Do you feel sleepy or headache when you get to your work-space "most time feeling"?	Right now, do you smell unusual smell?	Does the quality of light (color and light level) in this part of building have a negative effect on your work performance ?	Is there availability of natural light?	Are there blinds or shutters blocking the natural light ?	Do you have control over artificial lightning ?	Is there any luminare is OFF at this moment?	Unnamed: 61	Unnamed: 62	Unnamed: 63	Unnamed: 64	Unnamed: 65	Unnamed: 66
0	STU302	2:26:26 PM	NaN	439.1667	7163.3333	29.2722	20.4633	1280.6112	3.886	0.0043	0.2984	5.7167	42.5653	0.3324	0.4855	3.1331	25.325	51.2833	24	24.6667	24	24.2222	132.6667	4/7/2019 15:19	STU302	Male	Occ02	Age02	Hight04	Wieg03	Walking	Dress_364	Period_08	Stu-Period_01	Period_12	Period_12	Period_01	Period_12	Period_11	Period_12	Maybe	3	2	Maybe	2	Yes	No	Yes	3	4	No	No	3	Maybe	No	no	No	4	Yes	Yes	No	NaN	NaN	NaN	NaN	NaN	NaN
1	STU302	2:29:07 PM	NaN	436.96	7256	27.1722	20.47	1297.6959	3.9667	0.0043	0.2883	5.8004	43.0154	0.3487	0.5037	3.8327	25.3583	51.35	23	24.3333	25	24.1111	130.3333	4/7/2019 15:19	STU302	Male	Occ01	Age01	Hight05	Wieg04	Walking	Dress_213	Period_08	Stu-Period_06	Period_12	Period_01	Period_01	Period_07	Period_01	Period_12	No	3	3	No	3	No	No	Maybe	3	3	No	Yes	4	No	No	maybe	Yes	3	No	No	No	NaN	NaN	NaN	NaN	NaN	NaN
2	STU 302	2:31:48 PM	NaN	443.7183	7272.3333	28.1833	20.4967	1280.9724	3.8465	0.0043	0.2934	5.8006	42.4246	0.2661	0.4777	2.9656	25.2417	51.4667	23.6667	24.3333	27	25	133.6667	4/7/2019 16:55	STU302	Male	Occ01	Age01	Hight03	Wieg02	Walking	Dress_364	Period_10	Stu-Period_03	Period_01	Period_08	Period_11	Period_13	Period_11	Period_08	Yes	3	3	Maybe	2	Yes	Maybe	Maybe	3	3	Yes	No	4	Yes	Yes	no	Maybe	2	Yes	Yes	No	NaN	NaN	NaN	NaN	NaN	NaN
3	STU207	2:46:07 PM	14.7686	240.308	6369	26.4233	20.622	1090.0868	3.6904	0.0043	0.3027	6.907	40.8067	0.4134	0.2679	3.6909	24.305	57.68	21	23	24	22.6667	136.2	4/7/2019 14:53	STU207	Male	Occ01	Age01	Hight04	Wieg03	Walking	Dress_192	Period_08	Stu-Period_04	Period_01	Period_12	Period_01	Period_07	Period_11	Period_07	Yes	1	1	No	1	Yes	No	No	4	3	No	No	3	No	No	no	Yes	3	Yes	Yes	No	NaN	NaN	NaN	NaN	NaN	NaN
4	STU207	2:53:17 PM	14.8881	190.67	6010.1667	29.5139	20.58	1070.3733	3.6421	0.0042	0.3011	6.7815	40.9872	0.415	0.2599	3.8348	24.0292	59.3417	19.3333	20.3333	22.6667	20.7778	137.5	4/7/2019 14:59	STU207	Male	Occ01	Age01	Hight03	Wieg02	Running	Dress_99	Period_10	Stu-Period_03	Period_11	Period_12	Period_11	Period_12	Period_11	Period_01	Yes	1	3	Maybe	3	Yes	No	No	2	2	Yes	No	2	No	Yes	yes	No	1	Yes	No	No	NaN	NaN	NaN	NaN	NaN	NaN
5	STU210	3:06:43 PM	15.1119	376.4967	6834	24.9111	20.4833	955.184	3.313	0.0037	0.3089	6.9532	40.0553	0.521	0.1351	2.6255	23.3333	66.1667	23	21.6667	25.3333	23.3333	131	4/7/2019 15:07	STU210	Male	Occ01	Age01	Hight04	Wieg04	Working	Dress_192	Period_08	Stu-Period_01	Period_01	Period_12	Period_01	Period_07	Period_11	Period_07	Yes	4	4	Yes	2	No	No	No	4	5	Yes	Yes	5	Yes	Yes	yes	Maybe	3	Yes	Yes	No	NaN	NaN	NaN	NaN	NaN	NaN
6	ELEV4	0.631527778	15.1567	154.2925	6017.5	58.6583	20.45	960.8037	3.3596	0.0037	0.3118	7.0338	40.5356	0.5701	0.1765	3.4852	23.55	66.675	23	25.5	27	25.1667	107.5	4/7/2019 15:15	ELEV4	Male	Occ01	Age01	Hight05	Wieg03	Walking	Dress_220	Period_09	Stu-Period_03	Period_01	Period_07	Period_01	Period_08	Period_11	Period_13	Maybe	4	3	No	4	Yes	Maybe	Yes	2	3	Yes	No	4	No	Maybe	no	Maybe	3	Yes	Yes	No	NaN	NaN	NaN	NaN	NaN	NaN
7	STU304	3:10:17 PM	15.1714	563.365	7943	58.5667	20.32	943.8341	3.1719	0.0036	0.271	6.4155	40.0271	0.4371	0.1387	3.4783	23.65	62.45	23	24	25	24	137	4/7/2019 12:25	STU304	Male	Occ02	Age02	Hight03	Wieg03	Working	Dress_150	Period_08	Stu-Period_04	Period_07	Period_12	Period_01	Period_12	Period_01	Period_08	No	2	3	Maybe	2	Yes	No	Yes	3	4	No	No	2	No	No	no	No	4	Maybe	Yes	No	NaN	NaN	NaN	NaN	NaN	NaN
8	STU304	3:12:05 PM	15.2014	463.0075	6705.5	36.0917	20.31	941.8162	3.1549	0.0035	0.2674	6.5926	40.1119	0.3881	0.133	2.7092	23.4125	63	22.5	22.5	24	23	128	4/7/2019 12:33	STU304	Male	Occ02	Age02	Hight04	Wieg03	Walking	Dress_364	Period_07	Stu-Period_03	Period_07	Period_11	Period_11	Period_12	Period_01	Period_11	No	3	2	Yes	3	Yes	Yes	No	2	2	Yes	No	3	Yes	No	no	No	1	Yes	Yes	No	NaN	NaN	NaN	NaN	NaN	NaN
9	STU304	3:13:52 PM	15.2311	383.9425	7644.5	53.1167	20.425	921.3616	3.0869	0.0036	0.2747	6.372	40.1967	0.3653	0.1636	3.4783	23.3375	60.7	22.5	24.5	25.5	24.1667	135	4/7/2019 12:41	STU304	Male	Occ02	Age02	Hight04	Wieg04	Working	Dress_364	Period_08	Stu-Period_02	Period_12	Period_11	Period_11	Period_12	Period_01	Period_12	No	3	3	Yes	3	Yes	No	No	3	3	No	No	2	Yes	No	no	No	3	Yes	Yes	No	NaN	NaN	NaN	NaN	NaN	NaN

Last rows

	Location	Time	Decimal	Illumination level (Lux)	Color Tempreture	Average Noise level	O2 Concentration (%Vol)	CO2 at any moment (PPM)	LPG concen (ppm)	Alcohole Concen (ppm)	Methan Concen (ppm)	CO concen (ppm)	Hydrogyn Concen (ppm)	Netric tVOC level (ppm)	VOC Formerdahied Level (ppm)	Different VOC (CO) Level (ppm)	Room Temp ( C )	Room reative humadity %	Radiant Temp 1 (C)	Radiant Temp 2 (C)	Radiant Temp 3 (C)	Radiant Temp 1 (C).1	Wind Speed (mm/s)	Timestamp	Room name and code	Gender	Occupation	Age	Height	Weight	Your Activity	Clothing	How long do you spend in the building during the day	How long have you (worked-studied) in this building	In average day how much time do you spend in the [Office ]	In average day how much time do you spend in the [Lecture room ]	In average day how much time do you spend in the [laboratory ]	In average day how much time do you spend in the [Studio Design]	In average day how much time do you spend in the [Cafeteria ]	In average day how much time do you spend working at computer "average hours per day"	Does the temperature in this part of the building have a negative effect on your work performance?	How would you describe the summer indoor air temperature "most time feeling"?	How would you describe the winter indoor air temperature "most time feeling"	Do you feel comfortable under the current temperature ?	How you describe the current temperature in this room?	Does the distraction from noise in this part of building have a negative effect on your work performance "most time feeling"?	Is there significant distraction from noise outside (in this moment) ?	Is there significant distraction from background noise (machine and undefined noise sources)?	How would you describe the noise in building generally "most time feeling"?	How would describe noise at this moment?	Does the quality of air in this part of building have a negative effect on your work performance "most time feeling"?	Do you have control over air condition system ?	How would you describe the ventilation and air quality of building "most time feeling"?	Do you smell odor or unusual smell in your work-space "most time feeling"?	Do you feel sleepy or headache when you get to your work-space "most time feeling"?	Right now, do you smell unusual smell?	Does the quality of light (color and light level) in this part of building have a negative effect on your work performance ?	Is there availability of natural light?	Are there blinds or shutters blocking the natural light ?	Do you have control over artificial lightning ?	Is there any luminare is OFF at this moment?	Unnamed: 61	Unnamed: 62	Unnamed: 63	Unnamed: 64	Unnamed: 65	Unnamed: 66
68	STU211	11:57:22 AM	11.9561	156.7135	7116.3846	33.3244	20.3308	867.4996	3.4527	0.0036	0.3552	7.5834	46.3373	0.6836	0.6609	7.4277	22.6865	61.2923	21.5385	22.3077	24.6154	22.8205	134.7692	4/10/2019 11:57	STU211	Male	Occ01	Age01	Hight02	Wieg05	Walking	Dress_364	Period_04	4	3	No	No	Yes	4	3	LittleWindy	3	No	No	3	3	3	yes	No	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
69	STU211	12:01:51 PM	12.0308	117.18	7145.8	22.82	20.33	874.8942	3.4587	0.0036	0.3587	7.7072	46.5821	0.6302	0.6748	7.6067	22.715	60.86	21.6	22.2	24.4	22.7333	135.4	4/10/2019 12:00	STU211	Male	Occ01	Age01	Hight04	Wieg01	ClimbingStairs	Dress_213	Period_05	3	3	No	No	Yes	2	3	LittleWindy	4	No	No	4	4	3	No	No	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
70	STU211	12:15:16 PM	12.2544	52.7763	7112.5333	31.4589	20.3447	891.2104	3.4347	0.0035	0.3411	7.3297	46.4851	0.6368	0.6585	6.7292	22.6717	59.83	20.9333	22.6667	23.8667	22.4889	135.2	4/10/2019 12:15	STU211	Male	Occ01	Age01	Hight03	Wieg01	Working	Dress_364	Period_02	4	3	No	Yes	Yes	4	3	LittleWindy	4	No	Yes	4	3	5	yes	No	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
71	STU211	1:22:24 PM	13.3733	205.7447	7265.3333	31.0056	20.3017	984.2157	2.981	0.0029	0.3382	7.3534	46.1357	0.6528	0.5486	5.8201	22.175	64.7583	20.3333	23.3333	23.8333	22.5	136.5	4/10/2019 13:23	STU211	Male	Occ01	Age01	Hight04	Wieg02	Working	Dress_220	Period_03	2	2	No	No	No	4	3	LittleWindy	4	No	Yes	5	4	3	No	No	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
72	STU211	1:27:46 PM	13.4628	138.2183	7249.8333	40.7833	20.2917	968.6958	3.0142	0.003	0.3389	7.4634	45.9577	0.6909	0.5075	5.676	22.2833	65.3167	23	24.1667	24	23.7222	136.8333	4/10/2019 13:27	STU211	Male	Occ01	Age01	Hight04	Wieg04	Walking	Dress_365	Period_03	4	3	No	No	Maybe	5	3	Negligable	3	No	No	4	5	3	yes	No	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
73	STU211	1:35:50 PM	13.5972	153.1294	7272.2222	29.2556	20.2778	986.6352	2.9196	0.0029	0.3242	7.4632	45.8551	0.7239	0.5273	5.775	22.2667	65.0056	19.8889	22.7778	23.1111	21.9259	137	4/10/2019 13:35	STU211	Male	Occ01	Age01	Hight04	Wieg05	Working	Dress_365	Period_03	3	2	No	No	Yes	3	3	LittleWindy	3	No	No	5	4	2	yes	No	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
74	STU211	1:40:18 PM	13.6717	325.248	7234.4	26.1333	20.33	1016.5315	2.8898	0.0028	0.323	7.3788	45.8443	0.6689	0.5222	5.673	22.225	64.94	22.4	23	25	23.4667	136	4/9/2019 13:35	STU211	Male	Occ02	Age02	Hight03	Wieg05	Working	Dress_192	Period_05	2	2	No	No	Yes	3	2	Negligable	5	No	No	5	5	5	No	No	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
75	STU211	1:44:47 PM	13.7464	320.871	7269	32.2633	20.336	997.3151	2.9024	0.0028	0.3166	7.2875	45.9804	0.6994	0.4662	6.1924	22.375	65.05	21.6	24.8	26	24.1333	137.8	4/10/2019 13:44	STU211	Male	Occ01	Age01	Hight05	Wieg01	Running	Dress_220	Period_03	2	4	No	Maybe	No	5	2	LittleWindy	3	Maybe	No	3	3	3	yes	No	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
76	STU211	2:45:38 PM	14.7606	317.8045	7178.3235	34.0904	20.3234	1120.218	2.7629	0.0028	0.2896	7.091	45.457	0.6337	0.4761	5.8659	22.311	63.136	21	23.1912	24.0441	22.7451	137.0588	4/10/2019 14:45	STU211	Male	Occ01	Age02	Hight03	Wieg02	Walking	Dress_365	Period_05	4	3	No	No	Yes	2	5	Negligable	4	No	No	4	5	4	yes	No	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
77	STU211	2:50:07 PM	14.8353	50.657	7030.6	23.67	20.364	1030.1253	2.6913	0.0026	0.2792	7.2064	45.6111	0.6478	0.4821	6.015	22.185	62.11	22.4	21.8	22.6	22.2667	136.8	4/10/2019 16:37	STU211	Male	Occ02	Age03	Hight04	Wieg05	Running	Dress_213	Period_05	4	4	No	No	Yes	3	4	Negligable	4	No	No	4	4	4	yes	No	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Lowercase Letter

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Other Punctuation

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator